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Your search keyword '"Toyobo, Oluyemisi"' showing total 4 results
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4 results on '"Toyobo, Oluyemisi"'

1. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Author

Adewole, Maruf, Rudie, Jeffrey D., Gbadamosi, Anu, Toyobo, Oluyemisi, Raymond, Confidence, Zhang, Dong, Omidiji, Olubukola, Akinola, Rachel, Suwaid, Mohammad Abba, Emegoakor, Adaobi, Ojo, Nancy, Aguh, Kenneth, Kalaiwo, Chinasa, Babatunde, Gabriel, Ogunleye, Afolabi, Gbadamosi, Yewande, Iorpagher, Kator, Calabrese, Evan, Aboian, Mariam, Linguraru, Marius, Albrecht, Jake, Wiestler, Benedikt, Kofler, Florian, Janas, Anastasia, LaBella, Dominic, Kzerooni, Anahita Fathi, Li, Hongwei Bran, Iglesias, Juan Eugenio, Farahani, Keyvan, Eddy, James, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Familiar, Ariana, Van Leemput, Koen, Bukas, Christina, Piraud, Maire, Conte, Gian-Marco, Johansson, Elaine, Meier, Zeke, Menze, Bjoern H, Baid, Ujjwal, Bakas, Spyridon, Dako, Farouk, Fatade, Abiodun, and Anazodo, Udunna C

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years after diagnosis. Gliomas are challenging to diagnose, hard to treat and inherently resistant to conventional therapy. Years of extensive research to improve diagnosis and treatment of gliomas have decreased mortality rates across the Global North, while chances of survival among individuals in low- and middle-income countries (LMICs) remain unchanged and are significantly worse in Sub-Saharan Africa (SSA) populations. Long-term survival with glioma is associated with the identification of appropriate pathological features on brain MRI and confirmation by histopathology. Since 2012, the Brain Tumor Segmentation (BraTS) Challenge have evaluated state-of-the-art machine learning methods to detect, characterize, and classify gliomas. However, it is unclear if the state-of-the-art methods can be widely implemented in SSA given the extensive use of lower-quality MRI technology, which produces poor image contrast and resolution and more importantly, the propensity for late presentation of disease at advanced stages as well as the unique characteristics of gliomas in SSA (i.e., suspected higher rates of gliomatosis cerebri). Thus, the BraTS-Africa Challenge provides a unique opportunity to include brain MRI glioma cases from SSA in global efforts through the BraTS Challenge to develop and evaluate computer-aided-diagnostic (CAD) methods for the detection and characterization of glioma in resource-limited settings, where the potential for CAD tools to transform healthcare are more likely., Comment: arXiv admin note: text overlap with arXiv:2107.02314

Published
2023

3. COVID-19: Challenges and coping strategies in radiology departments in Nigeria.

Author

Omidiji, Olubukola, Atalabi, Omolola, Idowu, Elizabeth, Ishola, Aderemi, Olowoyeye, Omodele, Omisore, Adeleye, Eze, K, Ahmadu, Muhammad, Dim, Ngozi, Anas, Ismail, Ilo, Adaobi, Ayodele, Sidikat, Daji, Feyisayo, Yidi, Abdulsalam, Ajiboye, Olubukola, Jimoh, Kamaldeen, Toyobo, Oluyemisi, Onuwaje, Ayesan, Irurhe, Nicholas, and Adeyomoye, Adekunle

Subjects
COVID-19, COVID-19 pandemic, PERSONAL protective equipment, PUBLIC hospitals, PSYCHOLOGICAL adaptation
Abstract

Context: COVID-19 came suddenly, bringing to the fore the challenges inherent in the health system. In a developing country, such as Nigeria, which already had myriad problems with funds and equipment in the health sector. Aims: This study aims to examine the challenges encountered by the staff in Radiology facilities and how they combated the challenges. Settings and Design: A descriptive cross-sectional study of radiology facilities in Nigeria. Subjects and Methods: Radiologists from nine government and four private facilities who attended to COVID-19 patients were asked to fill questionnaires on challenges faced and their coping strategies. Responses were sent through E-mail. Statistical Analysis Used: Data from the responses were analyzed using Microsoft excel for Mac 2011 and presented as figures and tables. Results: Majority of the government 7 (77.8%) and private facilities 4 (100%) had no equipment dedicated only to COVID-19 patients. Seven (77.8%) government facilities complained of inadequate staff, poor availability of personal protective equipment (PPEs) 8 (88.9%), and lack of technology for remote viewing 7 (77.8%). Fear of cross-infection was a challenge in one of the facilities 1 (11.1%). Coping strategies adopted include ensuring less traffic in the department by discouraging walk-in patients and canceling non-emergent cases, booking suspected/confirmed cases for lighter times, using old film for face shields and cloth for facemasks, staff education on COVID-19 and preventive measures, and sending reports to physicians through E-mail. Conclusions: There were a lot of challenges during the COVID-19 crisis, with government hospitals experiencing more challenges than private facilities. The challenges included among others inadequate staff strength and lack of technology for remote viewing. Some were overcome using education and by production of facemasks/shields production using recycled materials. [ABSTRACT FROM AUTHOR]

Published
2022
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4. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa) .

Author

Adewole M, Rudie JD, Gbdamosi A, Toyobo O, Raymond C, Zhang D, Omidiji O, Akinola R, Suwaid MA, Emegoakor A, Ojo N, Aguh K, Kalaiwo C, Babatunde G, Ogunleye A, Gbadamosi Y, Iorpagher K, Calabrese E, Aboian M, Linguraru M, Albrecht J, Wiestler B, Kofler F, Janas A, LaBella D, Kzerooni AF, Li HB, Iglesias JE, Farahani K, Eddy J, Bergquist T, Chung V, Shinohara RT, Wiggins W, Reitman Z, Wang C, Liu X, Jiang Z, Familiar A, Van Leemput K, Bukas C, Piraud M, Conte GM, Johansson E, Meier Z, Menze BH, Baid U, Bakas S, Dako F, Fatade A, and Anazodo UC

Abstract

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years after diagnosis. Gliomas are challenging to diagnose, hard to treat and inherently resistant to conventional therapy. Years of extensive research to improve diagnosis and treatment of gliomas have decreased mortality rates across the Global North, while chances of survival among individuals in low- and middle-income countries (LMICs) remain unchanged and are significantly worse in Sub-Saharan Africa (SSA) populations. Long-term survival with glioma is associated with the identification of appropriate pathological features on brain MRI and confirmation by histopathology. Since 2012, the Brain Tumor Segmentation (BraTS) Challenge have evaluated state-of-the-art machine learning methods to detect, characterize, and classify gliomas. However, it is unclear if the state-of-the-art methods can be widely implemented in SSA given the extensive use of lower-quality MRI technology, which produces poor image contrast and resolution and more importantly, the propensity for late presentation of disease at advanced stages as well as the unique characteristics of gliomas in SSA (i.e., suspected higher rates of gliomatosis cerebri). Thus, the BraTS-Africa Challenge provides a unique opportunity to include brain MRI glioma cases from SSA in global efforts through the BraTS Challenge to develop and evaluate computer-aided-diagnostic (CAD) methods for the detection and characterization of glioma in resource-limited settings, where the potential for CAD tools to transform healthcare are more likely.

Published
2023

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