Colorectal cancer (CRC) is one of the most common cancers requiring early pathologic
diagnosis using colonoscopy biopsy samples. Recently, artificial intelligence (AI) has made …

Abstract Background and Objective: Early detection of colon adenomatous polyps is critically
important because correct detection of it significantly reduces the potential of developing …

Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological
assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al …

Epithelial (EP) and stromal (ST) are two types of tissues in histological images. Automated
segmentation or classification of EP and ST tissues is important when developing …

Background: Colorectal cancer (CRC) is the third most common cancer among men and
women. Its diagnosis in early stages, typically done through the analysis of colon biopsy …

Background Improved markers of prognosis are needed to stratify patients with early-stage
colorectal cancer to refine selection of adjuvant therapy. The aim of the present study was to …

Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and
automated image analysis approaches have great potential to increase precision of …

Unprecedented breakthroughs in the development of graphical processing systems have
led to great potential for deep learning (DL) algorithms in analyzing visual anatomy from …

Colonoscopy is an effective tool to detect colorectal lesions and needs the support of
pathological diagnosis. This study aimed to develop and validate deep learning models that …

Automatic pattern recognition using deep learning techniques has become increasingly
important. Unfortunately, due to limited system memory, general preprocessing methods for …