Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …

We address the challenging problem of whole slide image (WSI) classification. WSIs have
very high resolutions and usually lack localized annotations. WSI classification can be cast …

Advances in entity-graph analysis of histopathology images have brought in a new
paradigm to describe tissue composition, and learn the tissue structure-to-function …

Segmenting histology images into diagnostically relevant regions is imperative to support
timely and reliable decisions by pathologists. To this end, computer-aided techniques have …

Breast cancer has the highest fatality for women compared with other types of cancer.
Generally, early diagnosis of cancer is crucial to increase the chances of successful …

High computational cost associated with digital pathology image analysis approaches is a
challenge towards their translation in routine pathology clinic. Here, we propose a …

The convolutional neural networks (CNNs) are frequently used in the segmentation of
histopathological whole slide image-(WSI) acquired breast lymph nodes. The first layers in …

基于无监督学习的数字病理切片自动分割方法- PMC Back to Top Skip to main content NIH NLM
Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …

Meme lenf düğümlerinin histopatolojik görüntülerinde tümör tespiti meme kanseri teşhisinde
en önemli bulgulardan bir tanesidir. Histopatolojik görüntüler, patologlar tarafından dikkatli …