With the advent of whole slide image (WSI) scanners, pathology is undergoing a digital
revolution. Simultaneously, with the development of image analysis algorithms based on …

Introduction Histological images contain phenotypic information predictive of patient
outcomes. Due to the heavy workload of pathologists, the time-consuming nature of …

Abstract Introduction Pathologic response (PathR) by histopathologic assessment of
resected specimens may be an early clinical end point associated with long-term outcomes …

Mammography is one of the most effective tools radiologists use to detect breast cancer
early, as it can detect cancer up to ten years before it manifests. The accuracy of breast …

Breast cancer is the most prevalent cancer among women, and its diagnosis requires the
accurate identification and classification of histological features for effective patient …

Background Deep learning methods have demonstrated great potential for processing high-
resolution images. The U-Net model, in particular, has shown proficiency in the …

Background Breast cancer (BC) is a prevalent and highly lethal malignancy affecting women
worldwide. Immunotherapy has emerged as a promising therapeutic strategy for BC, offering …

Accurate proliferation rate quantification can be used to devise an appropriate treatment for
breast cancer. Pathologists use breast tissue biopsy glass slides stained with hematoxylin …

The early diagnosis of breast cancer (BC), a prominent global cause of mortality,
necessitates the development of innovative diagnostic strategies. This study leverages …

Background Low nuclear grade ductal carcinoma in situ (DCIS) patients can adopt proactive
management strategies to avoid unnecessary surgical resection. Different personalized …