Renal cell carcinoma detection and subtyping with minimal point-based annotation in whole-slide images
Z Gao, P Puttapirat, J Shi, C Li - … Conference, Lima, Peru, October 4–8 …, 2020 - Springer
Cancerous region detection and subtyping in whole-slide images (WSIs) are fundamental
for renal cell carcinoma (RCC) diagnosis. The main challenge in the development of …
for renal cell carcinoma (RCC) diagnosis. The main challenge in the development of …
A precision diagnostic framework of renal cell carcinoma on whole-slide images using deep learning
Diagnostic pathology, which is the basis and gold standard of cancer diagnosis, provides
essential information on the prognosis of the disease and vital evidence for clinical …
essential information on the prognosis of the disease and vital evidence for clinical …
Effects of annotation granularity in deep learning models for histopathological images
Pathological is crucial to cancer diagnosis. Usually, Pathologists draw their conclusion
based on observed cell and tissue structure on histology slides. Rapid development in …
based on observed cell and tissue structure on histology slides. Rapid development in …
OpenHI2—Open source histopathological image platform
Transition from conventional to digital pathology requires a new category of biomedical
informatic infrastructure which could facilitate delicate pathological routine. Pathological …
informatic infrastructure which could facilitate delicate pathological routine. Pathological …