Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

Simple Summary The histopathological image is widely considered as the gold standard for
the diagnosis and prognosis of human cancers. Recently, deep learning technology has …

The tumor grading of laryngeal cancer pathological images needs to be accurate and
interpretable. The deep learning model based on the attention mechanism-integrated …

Abstract Gigapixel Whole Slide Images (WSIs) aided patient diagnosis and prognosis
analysis are promising directions in computational pathology. However, limited by …

Tissue-level semantic segmentation is a vital step in computational pathology. Fully-
supervised models have already achieved outstanding performance with dense pixel-level …

Histopathological images contain abundant phenotypic information and pathological
patterns, which are the gold standards for disease diagnosis and essential for the prediction …

Recently, convolutional neural networks (CNNs) directly using whole slide images (WSIs) for
tumor diagnosis and analysis have attracted considerable attention, because they only …

Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in
Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on …

Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs
are high-resolution digitized histopathology images, stained with chemical reagents to …

Prostate cancer is the second most frequent cancer in men worldwide after lung cancer. Its
diagnosis is based on the identification of the Gleason score that evaluates the abnormality …