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1. A Streamlined Attention Mechanism for Image Classification and Fine-Grained Visual Recognition

Author

Dakshayani D Himabindu and Praveen S Kumar

Subjects
Visual attention, spatial attention, channel attention, fine-grained visual recognition, image classification, deep learning., Electronic computers. Computer science, QA75.5-76.95
Abstract

In the recent advancements attention mechanism in deep learning had played a vital role in proving better results in tasks under computer vision. There exists multiple kinds of works under attention mechanism which includes under image classification, fine-grained visual recognition, image captioning, video captioning, object detection and recognition tasks. Global and local attention are the two attention based mechanisms which helps in interpreting the attentive partial. Considering this criteria, there exists channel and spatial attention where in channel attention considers the most attentive channel among the produced block of channels and spatial attention considers which region among the space needs to be focused on. We have proposed a streamlined attention block module which helps in enhancing the feature based learning with less number of additional layers i.e., a GAP layer followed by a linear layer with an incorporation of second order pooling(GSoP) after every layer in the utilized encoder. This mechanism has produced better range dependencies by the conducted experimentation. We have experimented our model on CIFAR-10, CIFAR-100 and FGVC-Aircrafts datasets considering finegrained visual recognition. We were successful in achieving state-of-the-result for FGVC-Aircrafts with an accuracy of 97%.

Published
2021
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2. A Streamlined Attention Mechanism for Image Classification and Fine-Grained Visual Recognition

Author

Praveen S Kumar and Dakshayani D Himabindu

Subjects
Computational Mathematics, General Computer Science, Electronic computers. Computer science, spatial attention, fine-grained visual recognition, deep learning, Visual attention, spatial attention, channel attention, fine-grained visual recognition, image classification, deep learning, QA75.5-76.95, channel attention, Visual attention, image classification, Theoretical Computer Science
Abstract

In the recent advancements attention mechanism in deep learning had played a vital role in proving better results in tasks under computer vision. There exists multiple kinds of works under attention mechanism which includes under image classification, fine-grained visual recognition, image captioning, video captioning, object detection and recognition tasks. Global and local attention are the two attention based mechanisms which helps in interpreting the attentive partial. Considering this criteria, there exists channel and spatial attention where in channel attention considers the most attentive channel among the produced block of channels and spatial attention considers which region among the space needs to be focused on. We have proposed a streamlined attention block module which helps in enhancing the feature based learning with less number of additional layers i.e., a GAP layer followed by a linear layer with an incorporation of second order pooling(GSoP) after every layer in the utilized encoder. This mechanism has produced better range dependencies by the conducted experimentation. We have experimented our model on CIFAR-10, CIFAR-100 and FGVC-Aircrafts datasets considering finegrained visual recognition. We were successful in achieving state-of-the-result for FGVC-Aircrafts with an accuracy of 97%.

Published
2021

3. Ticagrelor Added to Aspirin in Acute Nonsevere Ischemic Stroke or Transient Ischemic Attack of Atherosclerotic Origin

Author

Pierre Amarenco, Hans Denison, Scott R. Evans, Anders Himmelmann, Stefan James, Mikael Knutsson, Per Ladenvall, Carlos A. Molina, Yongjun Wang, S. Claiborne Johnston, Kenneth Butcher, Shuya Li, Huaguang Zheng, David Skoloudik, Lawrence Wong, Ketevana Meshkova, Nijasri C. Suwanwela, Sebastian Ameriso, Leonardo Gonzalez, Pablo Ioli, Lorena Jure, Guillermo Povedano, Guadalupe Bruera, Gustavo Herrera, Juan Jose Martin Artesi, Virginia A. Pujol Lereis, Conrado J. Estol, Maia Gomez Schneider, Santiago Pigretti, Fernando Lipovestky, María Cristina Zurru, Stephen Davis, Andrew Wong, Tissa Wijeratne, Arman Sabet, Andrew Lee, Vincent Thijs, Robin Lemmens, Laetitia Yperzeele, Geert Vanhooren, Peter Vanacker, Iris Vansteenkiste, Vicky Maqueda, André Peeters, Marie-Christine Hasenbroekx, Van Daele, Wendy Hasenbroekx, Adinda De Pauw, Regilio Oedit, Wouter De Vooght, Philippe Desfontaines, Yves Vandermeeren, Marianna D.A. Dracoulakis, Rodrigo Bazan, Octavio M. Pontes Neto, Daniel D.C. Bezerra, Luiz C. Marrone, Pedro A. Kowacs, Carla H.C. Moro, Paulo C.O. Macelino, Marco Tulio A. Pedatella, Ekaterina Titianova, Ivan Staikov, Dimitar Maslarov, Plamen Petkov, Tanya Beleva, Borislav Kralev, Nikolay Sotirov, Dimcho Hristov, Rumeliya M. Ivanova, Margarita V. Mihailova, Ashfaq M. Shuaib, Andrew Demchuk, Michel Beaudry, Anthony R. Winder, Sumiti Nayar, Xingquan Zhao, Guoqiang Wen, Xueshuang Dong, Guozhong Li, Zhaohui Zhang, Huisheng Chen, Dong Wang, Xiaohong Li, Yuncheng Wu, Xu Zhang, Baorong Zhang, Wenke Hong, Xiaogang Li, Lijuan Wang, Li Liu, Xiaolin Xu, Peifu Wang, Weihong Zheng, Jinsheng Zeng, Yukai Wang, Yan Jia, Yongqiu Li, Bo Hu, Wei Shen, Zhi Song, Zhiping Hu, Yunhai Liu, Kaifu Ke, Deqin Geng, Shigang Zhao, Runxiu Zhu, Qiumin Qu, Xiuli Zhao, Qi Wan, Yunhua Yue, Huishan Du, Meiyun Zhang, Yan Wang, Dongfang Li, Dongyu Wang, Yongqiang Li, Xufang Xie, Tingmin Yu, Qi Liu, Mingxiu Yang, Xiaoping Pan, Lijun Xu, Deen Xu, Gang Li, Anding Xu, Martin Roubec, Petr Geier, Daniel Vaclavik, Jiri Neumann, Jana Bednarova, Robert Mikulik, David Hlinovsky, Charlotte Cordonnier, Igor Sibon, Caroline Arquizan, Sonia Alamowitch, Bertrand Lapergue, Jean-Marc Olivot, Nicolas Raposo, Marie-Hélène Mahagne, Emmanuel Touze, Gilles Rodier, Stéphane Vannier, Yves Samson, Michael Obadia, Emmanuel Ellie, Benoît Guillon, Serge Timsit, Yannick Bejot, Valérie Wolff, Didier Smadja, Aude Bagan-Triquenot, Pierre Garnier, Xavier Ducrocq, Peggy Reiner, Thierry Moulin, Frédéric Philippeau, Fernando Pico, Sébastien Richard, Joachim Röther, Jörg Berrouschot, Hassan Soda, Carsten Pohlmann, Christoph Terborg, Darius G. Nabavi, Rainer Dziewas, Martin Köhrmann, Jörg Glahn, Lars Marquardt, Bernd Kallmünzer, Karin Weißenborn, Yannie Oi-Yan Soo, Richard Li, Wing Chi Fong, Siu Hung Li, Raymond Cheung, Kin Keung Yip, Joshua Wai Ming Fok, Michael Y.P. Fu, Norbert Szegedi, Krisztián Pozsegovits, Attila Valikovics, Gyula Pánczél, Csilla Rózsa, Péter Diószeghy, Attila Csányi, Levente Kerényi, Valéria Nagy, László Szapáry, Dániel Bereczki, Sándor Molnár, Gyula Timár, András G. Folyovich, Mária Sátori, Ildikó Vastagh, Praveen S. Kumar, Rajnish Kumar, Atul Prasad, Vikram Sharma, Alok Verma, Indraneel Basu, Abu Z. Ansari, Vijaya Pamidimukkala, Raghavendra B, null S, Vivek D. Junewar, Sumit Singh, Advait Prakash Kulkarni, Padma M.V. Srivastava, K. Pramod, Sanjay G. Ramteke, Jaideep Bansal, Kewal Krishan, Hrishikesh Kumar, Priyanka V. Kashyap, T.C.R. Ramakrishnan, Gopal R. Adrasetty, Amit Yeole, Rahul B. Baviskar, Giancarlo Agnelli, Danilo Toni, Stefano Ricci, Rossana Tassi, Giuseppe Micieli, Michelangelo Mancuso, Giovanni Orlandi, Alberto Chiti, Marialuisa Delodovici, Federico Carimati, Alessandro De Vito, Francesco Perini, Cinzia Finocchi, Tiziana Tassinari, Massimo Del Sette, Luisa Roveri, Andrea Zini, Guido Bigliardi, Francesca R. Pezzella, Letizia Cupini, Alessandro Adami, Giampaolo Tomelleri, Carla Zanferrari, Angel A. Arauz Góngora, Minerva López Ruíz, Angelica Ruíz Franco, José O.J. Chacon Romero, Fernando Cruz Castillo, Jose L. Ruiz-Sandoval, Jesús D. López Tapia, Edgar A. Castillo Vargas, Juan F. Gongora Rivera, Guillermo Rivera Martinez, Jorge Villarreal Careaga, Nilton Custodio, Oscar G. Pamo Reyna, Cesar A. Castañeda, Edwin J. Pretell, Nestor Najar, Julio C. Perez, Luisa Cardoza, Carlos Chavez, Maria Reyes, Anna Członkowska, Waldemar Fryze, Piotr Sobolewski, Ryszard Nowak, Dorota Szkopek, Zbigniew Bąk, Sławomir Brzozowski, Waldemar Brola, Marek Zalisz, Konrad Rejdak, Marta Bilik, Małgorzata Fudala, Andrzej Tutaj, Anetta Lasek-Bal, Jan Kochanowicz, Bartosz Karaszewski, Tomasz Berkowicz, Beata Zwiernik, Dorota Różański, Jan P. Mejnartowicz, Szymon Jurga, Jacek Rożniecki, Maciej Świat, Ovidiu A. Bajenaru, Cristina A. Panea, Mihaela A. Simu, Rodica Balasa, Dan I. Cuciureanu, Bogdan O. Popescu, Monica Sabau, Corina Roman-Filip, Liudmila Odnopozova, Oleg Artyukov, Anna Milto, Liudmila V. Stakhovskaya, Sergei Aksentiev, Svetlana E. Chuprina, Elena B. Kuznetsova, Ilya I. Sholomov, Alexander Malygin, Elena Mordvintseva, Rostislav Y. Nilk, Inna Ershova, Dina Khasanova, Leila Akhmadeeva, Aida Iakupova, Ekaterina A. Drozdova, Marine Tanashyan, Evgenij Pudov, Lybov A. Shpagina, Svetlana Berns, Liudmila G. Lenskaya, Konstantin Golikov, Andrey V. Kovalenko, Elena Vasilieva, Elena Reznik, Mikhail Zykov, Evgeniy Kovalchuk, Dmitry Popov, Andrey Belkin, Olga Androfagina, Tatyana Lokshtanova, Elena V. Melnikova, Fahmi Al-Senani, Nouf Almansour, Fawaz Alhussein, Ali Alkhathaami, Saeed Alghamdi, Miroslav Brozman, Marta Mikloskova, Georgi Krastev, Vlastimil Serdahely, Michal Kovacik, Ladislav Gurcik, Miloslav Dvorak, Egon Kurca, Andrea Cimprichova, Marian Kycina, Erika Zacharova, Richard Risnovsky, Hee-Joon Bae, Kyung Bok Lee, Yong-Jin Cho, Jong-Moo Park, Joon-Tae Kim, Jun Lee, Jae-Kwan Cha, Sung-Il Sohn, Dong-Ick Shin, Soo Joo Lee, Byung-Chul Lee, Jay Chol Choi, Moo Seok Park, Dae-Il Chang, Joung-Ho Rha, Sang Min Sung, Yangha Hwang, Jaume Roquer González, Jaime Masjuan Vallejo, Meritxell Gomis Cortina, Francisco Moniche Álvarez, Miguel Ángel Gamero García, Soledad Pérez Sánchez, Francisco Purroy García, Santiago Trillo Senín, Tomás Segura Martín, Joaquín Serena Leal, Juan Arenillas Lara, Joan Martí-Fàbregas, Aida Lago Martín, Carlos Tejero Juste, Javier Marta Moreno, Nicolás López Hernández, Lars Sjöblom, Ann Charlotte Laska, Margarita Callander, Thomas Mooe, Jan-Erik Karlsson, Mihaela Oana Romanitan, Arne Lindgren, Niaz Ahmed, Björn Cederin, Christine Kremer, Tsong-Hai Lee, Jiann-Shing Jeng, Chih-Hung Chen, Helen L. Po, Chia-Wei Liou, Huey-Juan Lin, Ruey-Tay Lin, Hsiu-Fen Lin, Li-Ming Lien, Lung Chan, Wei-Shih Huang, Wen-Yi Huang, Ta-Cheng Chen, Chin-I Chen, Po-Lin Chen, Chun-Pai Yang, Yu Sun, Aurauma Chutinet, Tasanee Tantirittisak, Sombat Muengtaweepongsa, Yongchai Nilanont, Somsak Tiamkao, Chesda Udommongkol, Witoon Jantararotai, Tabtim Chongsuvivatwong, Suwat Srisuwananukorn, Wasutha Khaykhaew, Supachai Paiboonpol, Makorn Limudomporn, Saengduan Mayotarn, Kanoksri Samintharapanya, Arkhom Arayawichanon, Thanoot Thamangraksat, Duangpol Srimanee, Galyna Chmyr, Nataliya Tomakh, Alla Cherkez, Sergii Moskovko, Vadym Nikonov, Svitlana Shkrobot, Lyudmyla Shulga, Hanna Hrebeniuk, Valentyna Yavorska, Nataliia Lytvynenko, Marta Khavunka, Iryna Kobets, Nataliia Chemer, Ivanna Tashchuk, Olha Myronova, Thang H. Nguyen, Tan V. Vo, Thanh T. Tran, Nga T.P. Nguyen, Anh D. Nguyen, Binh T. Nguyen, Thang B. Nguyen, Ngoc H. Nguyen, Quang D. Nguyen, Nhan D. Le, Dai D. Pham., UCL - SSS/IONS - Institute of NeuroScience, UCL - (MGD) Service de neurologie, Yperzeele, Laetitia, and THALES Steering Committee and Investigators

Subjects
Male, Atherosclerotic stenosis, Ticagrelor, Neurology, Neurologi, Original Contributions, population, Constriction, Pathologic, Severity of Illness Index, Recurrence, Secondary Prevention, Medicine, Cardiac and Cardiovascular Systems, Stroke, education.field_of_study, Aspirin, Kardiologi, Dual Anti-Platelet Therapy, Ischemic strokes, Middle Aged, stroke, Ischemic Attack, Transient, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Cardiology, ÍNDICE DE GRAVIDADE DA DOENÇA, Female, Cardiology and Cardiovascular Medicine, medicine.drug, medicine.medical_specialty, aspirin, Population, atherosclerosis, death, ticagrelor, transient ischemic attack, Clinical and Population Sciences, Internal medicine, Humans, education, Aged, Ischemic Stroke, Proportional Hazards Models, Advanced and Specialized Nursing, business.industry, Atherosclerosis, medicine.disease, Cerebrovascular Disorders, Ischemic stroke, Human medicine, Neurology (clinical), business, Platelet Aggregation Inhibitors
Abstract

Supplemental Digital Content is available in the text., Background and Purpose: Among patients with a transient ischemic attack or minor ischemic strokes, those with ipsilateral atherosclerotic stenosis of cervicocranial vasculature have the highest risk of recurrent vascular events. Methods: In the double-blind THALES (The Acute Stroke or Transient Ischemic Attack Treated With Ticagrelor and ASA for Prevention of Stroke and Death) trial, we randomized patients with a noncardioembolic, nonsevere ischemic stroke, or high-risk transient ischemic attack to ticagrelor (180 mg loading dose on day 1 followed by 90 mg twice daily for days 2–30) or placebo added to aspirin (300–325 mg on day 1 followed by 75–100 mg daily for days 2–30) within 24 hours of symptom onset. The present paper reports a prespecified analysis in patients with and without ipsilateral, potentially causal atherosclerotic stenosis ≥30% of cervicocranial vasculature. The primary end point was time to the occurrence of stroke or death within 30 days. Results: Of 11 016 randomized patients, 2351 (21.3%) patients had an ipsilateral atherosclerotic stenosis. After 30 days, a primary end point occurred in 92/1136 (8.1%) patients with ipsilateral stenosis randomized to ticagrelor and in 132/1215 (10.9%) randomized to placebo (hazard ratio 0.73 [95% CI, 0.56–0.96], P=0.023) resulting in a number needed to treat of 34 (95% CI, 19–171). In patients without ipsilateral stenosis, the corresponding event rate was 211/4387 (4.8%) and 230/4278 (5.4%), respectively (hazard ratio, 0.89 [95% CI, 0.74–1.08]; P=0.23, Pinteraction=0.245). Severe bleeding occurred in 4 (0.4%) and 3 (0.2%) patients with ipsilateral atherosclerotic stenosis on ticagrelor and on placebo, respectively (P=NS), and in 24 (0.5%) and 4 (0.1%), respectively, in 8665 patients without ipsilateral stenosis (hazard ratio=5.87 [95% CI, 2.04–16.9], P=0.001). Conclusions: In this exploratory analysis comparing ticagrelor added to aspirin to aspirin alone, we found no treatment by ipsilateral atherosclerosis stenosis subgroup interaction but did identify a higher absolute risk and a greater absolute risk reduction of stroke or death at 30 days in patients with ipsilateral atherosclerosis stenosis than in those without. In this easily identified population, ticagrelor added to aspirin provided a clinically meaningful benefit with a number needed to treat of 34 (95% CI, 19–171). Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03354429.

Published
2020

4. Clinico-Radiological Correlation in a Cohort of Cervical Myelopathy Patients

Author

R Y Kalpana and Praveen S Kumar

Subjects
medicine.medical_specialty, Neurology, Clinical Biochemistry, lcsh:Medicine, Physical examination, Neurological examination, localization, Lesion, Myelopathy, medicine, mri, Foramen magnum, medicine.diagnostic_test, Radiology Section, business.industry, lcsh:R, spinal cord, Sensory loss, General Medicine, medicine.disease, Spinal cord, Surgery, medicine.anatomical_structure, Radiology, medicine.symptom, business
Abstract

Objective: Though both clinical evaluation and MRI are complimentary in detection and precise localization of the level of lesion in patients with cervical myelopathy, there is paucity of data comparing segment specific clinical features with the MRI abnormalities in cervical myelopathy. Materials and Methods: Thirty one patients with cervical myelopathy and abnormal MRI of the cervical spine (signal changes in the cord) admitted to the neurology and neurosurgery wards during the study period were included in the study. The patients were prospectively evaluated by a detailed neurological examination. Clinically, the site of lesion was determined by highest of the pyramidal, sensory or segmental features of involvement. The MRI lesions were categorized based on the vertebral level at which the abnormalities were seen. The patients were divided into three groups according to the site of lesion on MRI: (1) cervico-medullary (foramen magnum to C1) lesions (2) upper cervical (C2-C4) lesions and (3) lower cervical (C5-T1) lesions. Comparisons of clinical symptoms, signs and level of lesion with MRI abnormalities were done and the level of significance was set at p < 0.05. Results: Clinical evaluation showed limb weakness in all, sensory loss in 90%, sphincter disturbances in 67.7%, scissoring gait in 32.2%, diaphragmatic weakness in 12.9% of patients. Based on clinical examination the site of lesion was cervico-medullary in 9, upper cervical region in 4 and lower cervical region of involvement in five patients. The maximal antero-posterior extent of the lesion and neurological deficits were concordant (p-0.05). As compared to pyramidal signs or sensory abnormalities, segmental features – segmental sensory loss, weakness, wasting or ‘reflex’ loss – were most concordant with the MRI level of lesion (p - 0.03). Among ‘motor’, ‘sensory’ and ‘reflex’ levels, the ‘reflex (DTR)’ levels were most concordant with the MRI level of lesion (p – 0.04). Conclusion: Segmental features form the foundation for clinical localization of the level of lesion. Though the clinical level of lesion and MRI level of lesion were discordant in 14 patients, clinical evaluation may still provide useful information.

Published
2015

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