Bowel cancer, which is easily affected by diet and drugs, has some restrictive factors such as
the fecal occult blood test (FOBT) in the routine detection and the high cost and …

This paper introduces a feature extraction method for Narrow-Band Imaging (NBI) colorectal
endoscopic images with Convolutional Neural Network (CNN) for Support Vector Machine …

Colon cancer is a common type of carcinoma that occurs in the large intestine. This type of
cancer affects millions of people around the world each year. Early and accurate diagnosis …

(in English) We have developed a real-time computer-aided diagnosis systems for colorectal
endoscopic images using machine, transfer, and deep learnings, and it learns clinical …

Based on deep learning technology, this paper proposes a two-stage colorectal image
feature mining and fast recognition model to achieve fully automatic medical image …

Colorectal cancer is one of the most commonly diagnosed cancers and it develops in the
colon region of large intestine. The histopathologist generally investigates the colon biopsy …

Colon cancer is one of the highest cancer diagnosis mortality rates worldwide. However,
relying on the expertise of pathologists is a demanding and time-consuming process for …

Colorectal cancer (CRC) is a major global health concern. Its early diagnosis is extremely
important, as it determines treatment options and strongly influences the length of survival …

Cancer is a disease involving unusual cell growth likely to spread to other parts of the body.
According to WHO 2020 report, colorectal malignancy is the globally accepted second …

Abstract Background and Objectives:-Esophageal malignant growth is probably the
deadliest kind of disease in people. It positions seventh as far as disease and 6th as far as …