The automated analysis of medical diagnostic videos, such as ultrasound and endoscopy,
provides significant benefits in clinical practice by improving the efficiency and accuracy of …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …

Colorectal cancer become a significant public health issue and is the world's second leading
cause of death from cancer. Cancer becomes a very dangerous disease, because it gives …

The introduction of deep learning in the medical sector for the diagnosis and classification of
tissue images has proven to have the best accuracy level over the years. Hence in this …

Colon cancer, or a colorectal cancer, is a malignant neoplasm that originates in the colon. It
is one of the most prevalent forms of cancer globally, with significant impacts on morbidity …

This paper discussed the application of traditional machine learning and deep learning
methods in CT image classification of liver hydatid. At first, the Median filtering algorithm was …

Colorectal cancer is an important health issue, both in terms of the number of people
affected and the associated costs. Colonoscopy is an important screening method that has a …

Colon cancer is a dangerous type of degradative disease after lung cancer. Colon cancer
start with the presence of polyps on the colon. Early preventive measures are important …