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 …

Colorectal cancer (CRC) is one of the most common types of cancer among men and
women. The grading of dysplasia and the detection of adenocarcinoma are important …

Colorectal cancer is one of the most prevalent types of cancer, with histopathologic
examination of biopsied tissue samples remaining the gold standard for diagnosis. During …

Automated cancer grading is an important subject of study in digital pathology. In this paper,
we introduce a multi-task learning approach to analyze digitized pathology images. The …

Colorectal poorly differentiated adenocarcinoma (ADC) is known to have a poor prognosis
as compared with well to moderately differentiated ADC. The frequency of poorly …

The treatment plan of colorectal neoplasm differs based on histology. Although new
endoscopic imaging systems have been developed, there are clear diagnostic thresholds …

Background: Classification of colorectal neoplasms during colonoscopic examination is
important to avoid unnecessary endoscopic biopsy or resection. This study aimed to develop …

Histopathology is the gold standard method for staging and grading human tumors and
provides critical information for the oncoteam's decision making. Highly-trained pathologists …

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …

Background A colonoscopy can detect colorectal diseases, including cancers, polyps, and
inflammatory bowel diseases. A computer-aided diagnosis (CAD) system using deep …