Masked hypergraph learning for weakly supervised histopathology whole slide image classification
J Shi, T Shu, K Wu, Z Jiang, L Zheng, W Wang… - Computer Methods and …, 2024 - Elsevier
Background and objectives: Graph neural network (GNN) has been extensively used in
histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in …
histopathology whole slide image (WSI) analysis due to the efficiency and flexibility in …
[PDF][PDF] UsingMsfNet to Predict the ISUP Grade of Renal Clear Cell Carcinoma in Digital Pathology Images.
K Yang, S Chang, Y Wang, J Yang, S Liu… - … Materials & Continua, 2024 - cdn.techscience.cn
Clear cell renal cell carcinoma (ccRCC) represents the most frequent form of renal cell
carcinoma (RCC), and accurate International Society of Urological Pathology (ISUP) grading …
carcinoma (RCC), and accurate International Society of Urological Pathology (ISUP) grading …
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
In computational pathology, extracting spatial features from gigapixel whole slide images
(WSIs) is a fundamental task, but due to their large size, WSIs are typically segmented into …
(WSIs) is a fundamental task, but due to their large size, WSIs are typically segmented into …
The Effect of Noise Removal Filters on Classifying Different Types of Medical Images
The number of studies on medical image processing with artificial intelligence-supported
systems and the resulting diagnosis and classification of diseases has increased …
systems and the resulting diagnosis and classification of diseases has increased …