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1. New Breast Cancer Study Findings Have Been Reported by Investigators at Changchun Normal University (A Resampling Ant Colony Optimization With Elite Exploration and Convergence Mechanism for Multithreshold Segmentation of Breast Cancer Images)

2. New Data from Tehran University of Medical Sciences Illuminate Findings in Engineering Science (Segmentation of Liver and Liver Lesions Using Deep Learning)

3. Study Results from Wenzhou University in the Area of Breast Cancer Reported (Whrime: a Weight-based Recursive Hierarchical Rime Optimizer for Breast Cancer Histopathology Image Segmentation)

4. New Eye Diseases and Conditions Findings Has Been Reported by Investigators at Beijing University of Technology (Optimizing Fully Convolutional Encoder-decoder Network for Segmentation of Diabetic Eye Disease)

5. Reports Outline Cancer Detection Research from Guntur (Fast Watershed Segmentation for Breast Cancer Detection)

10. Report Summarizes Malaria Study Findings from Changchun Normal University (Artemisinin Optimization Based On Malaria Therapy: Algorithm and Applications To Medical Image Segmentation)

11. Research Study Findings from Fuzhou University Update Understanding of Diagnostics (Cross-Modality Medical Image Segmentation via Enhanced Feature Alignment and Cross Pseudo Supervision Learning)

12. Findings from Sorbonne University Provides New Data about Biomedical Engineering (Attention-based Neural Network for Cardiac Mri Segmentation: Application To Strain and Volume Computation)

13. New Photonics Study Findings Have Been Published by a Researcher at North University of China (Adaptive Image-Defogging Algorithm Based on Bright-Field Region Detection)

14. Findings from University of Missouri Has Provided New Data on Bioinformatics (Cryosegnet: Accurate Cryo-em Protein Particle Picking By Integrating the Foundational Ai Image Segmentation Model and Attention-gated U-net)

15. Findings from Federal University Ceara Update Knowledge of Building and Construction (Proposition of an Aggregate-binder Interface Index Based On the Adhesiveness Test Assessed By Digital Image Processing)

17. Study Findings from City University of Hong Kong Broaden Understanding of Imaging Technology (Infproto-powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization In Medical Images)

20. Study Results from Beijing University of Posts and Telecommunications Broaden Understanding of Prostate Cancer (Segmentation Assisted Prostate Cancer Grading With Multitask Collaborative Learning)

21. University of British Columbia Researcher Details Research in Cancer Detection (Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection)

22. New Cancer Detection Study Results from Princess Nourah Bint Abdulrahman University Described (Image Processing-based Resource-efficient Transfer Learning Approach for Cancer Detection Employing Local Binary Pattern Features)

23. Reports Summarize Information Processing and Management Study Results from Tianjin University of Technology (Mlrn: a Multi-view Local Reconstruction Network for Single Image Restoration)

25. Data on Hematology Reported by Researchers at Board of Radiation and Isotope Technology (Design, Development and Analysis of an Image Processing Based Advanced System for Testing, Calibration and Type Approval of Blood Pressure Devices)

27. Research Reports from Hangzhou Medical College Provide New Insights into Bioengineering (DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation)

28. Findings from University of Guadalajara Yields New Data on Mathematics (Improving the Estimation of Distribution Algorithm With a Differential Mutation for Multilevel Thresholding Image Segmentation)

30. Universiti Utara Malaysia Researchers Provide New Insights into Diabetic Retinopathy (Colour Image Enhancement Model of Retinal Fundus Image for Diabetic Retinopathy Recognition)

31. Reports from Chongqing University Highlight Recent Research in Applied Sciences (Research on Human Lung Impedance Tomography Based on Soft Thresholding Image Segmentation and Reduced-Order Tikhonov Regularization)

32. Changchun University of Science and Technology Researcher Reveals New Findings on Medical Diagnostics and Therapy (Pulmonary Nodule Segmentation Network Based on Res Select Kernel Contextual U-Net)

34. New Traditional Chinese Medicine Study Findings Have Been Reported by Investigators at Hangzhou Normal University (Deep-dsp: Deep Convolutional Network With Double Spatial Pyramid for Tongue Image Segmentation)

37. Research from University of Erciyes Yields New Data on Signal Processing (Retinal Vessel Segmentation based on Hunger Games Search and Reptile Search Algorithms)

39. New Optical Health Sciences Study Findings Have Been Reported from Chinese Academy of Sciences (Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image)

40. Studies from Harcourt Butler Technical University in the Area of Coronavirus Described (Deep Residual Network and Wavelet Transform-Based Non-Local Means Filter for Denoising Low-Dose Computed Tomography)

41. Harbin University of Science and Technology Researchers Publish New Studies and Findings in the Area of Oncology (Lightweight semantic segmentation network for tumor cell nuclei and skin lesion)

44. Seeing through eyes made of stone

45. New Findings on Breast Tumors from Nankai University Summarized (Rrcnet: Refinement Residual Convolutional Network for Breast Ultrasound Images Segmentation)

46. Researchers at University of Rzeszow Target Cancer (Neural Network in the Analysis of the MR Signal as an Image Segmentation Tool for the Determination of T [ [1] ] and T [ [2] ] Relaxation Times with Application to Cancer Cell Culture)

47. Study Findings on Technology Described by Researchers at Nanchang Hangkong University (Studying electronic blood pressure monitor digital recognition algorithm based on computer vision and design) (Studying electronic blood pressure monitor ...)

48. Data on Lung Cancer Published by a Researcher at Shandong University of Science and Technology (SDUST) (Development and Validation of the Random Forest Model via Combining CT-PET Image Features and Demographic Data for Distant Metastases among ...)

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