Computational pathology in cancer diagnosis, prognosis, and prediction–present day and prospects
G Verghese, JK Lennerz, D Ruta, W Ng… - The Journal of …, 2023 - Wiley Online Library
Computational pathology refers to applying deep learning techniques and algorithms to
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …
Domain generalization in computational pathology: survey and guidelines
Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …
(CPath) by tackling intricate tasks across an array of histology image analysis applications …
Deep learning applications for kidney histology analysis
Deep learning offers great opportunities to improve quantitative and qualitative kidney
histology analysis for research and clinical nephropathology diagnostics. Although exciting …
histology analysis for research and clinical nephropathology diagnostics. Although exciting …
Recent Advances in Pathology: the 2023 Annual Review Issue of The Journal of Pathology
Abstract The 2023 Annual Review Issue of The Journal of Pathology, Recent Advances in
Pathology, contains 12 invited reviews on topics of current interest in pathology. This year …
Pathology, contains 12 invited reviews on topics of current interest in pathology. This year …
Advancing Automatic Gastritis Diagnosis: An Interpretable Multilabel Deep Learning Framework for the Simultaneous Assessment of Multiple Indicators
M Ma, X Zeng, L Qu, X Sheng, H Ren, W Chen… - The American Journal of …, 2024 - Elsevier
The evaluation of morphologic features, such as inflammation, gastric atrophy, and intestinal
metaplasia, is crucial for diagnosing gastritis. However, artificial intelligence analysis for …
metaplasia, is crucial for diagnosing gastritis. However, artificial intelligence analysis for …