With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …

Deep learning using convolutional neural networks is an actively emerging field in
histological image analysis. This study explores deep learning methods for computer-aided …

Gastric cancer is a common and deadly cancer in the world. The gold standard for the
detection of gastric cancer is the histological examination by pathologists, where Gastric …

Histological analysis with microscopy is the gold standard to diagnose and stage cancer,
where slides or whole slide images are analyzed for cell morphological and spatial features …

Abstract In the Gastric Histopathology Image Classification (GHIC) tasks, which are usually
weakly supervised learning missions, there is inevitably redundant information in the …

Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes
towards scoring tumour grade which then determines treatment options. However …

Simple Summary Canine soft-tissue sarcomas are a group of tumours that arise from the
skin and subcutaneous connective tissue. The most common method used to predict the …

Background Histopathology diagnosis is often regarded as the final diagnostic method for
malignant tumors; however, it has some drawbacks. This study explored a computer-aided …

This paper describes a novel graph-based method for efficient representation and
subsequent classification in histological whole slide images of gastric cancer. Her2/neu …