Pathology DCNNLFS: A Dilated Convolutional Neural Network with Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. November 20, 2023
Oncology | Pathology Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects. August 14, 2023
Oncology | Pathology Proteogenomic insights suggest druggable pathways in endometrial carcinoma. August 11, 2023
Computational Pathology | Nephrology | Pathology Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images. August 5, 2023
Pathology Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. August 2, 2023
Pathology Clinical applications of graph neural networks in computational histopathology: A review. July 30, 2023
Computer Science | Oncology | Pathology OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection. July 29, 2023
Computer Science | Oncology | Pathology An interpretable decision-support model for breast cancer diagnosis using histopathology images. July 7, 2023
Pathology Cross-domain Nuclei Detection in Histopathology Images using Graph-based Nuclei Feature Alignment. May 29, 2023
Bioinformatics | Oncology | Pathology Multimodal AI for prediction of distant metastasis in carcinoma patients. May 25, 2023
Machine Learning | Oncology | Pathology An Explainable Classification Method Based on Complex Scaling in Histopathology Images for Lung and Colon Cancer. May 13, 2023
Oncology | Pathology BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images. April 4, 2023