Purpose This work explores the potential of artificial intelligence (AI) for real-time colorectal
cancer (CRC) screening. We utilized a multi-house dataset to achieve a three-step approach …

Deep learning, particularly convolutional neural networks (CNNs), has revolutionized
endoscopic image processing, significantly enhancing the efficiency and accuracy of …

Brain tumor (BT) is an awful disease and one of the foremost causes of death in human
beings. BT develops mainly in 2 stages and varies by volume, form, and structure, and can …

Detecting colorectal polyps promptly and accurately is crucial in preventing the progression
of colorectal cancer. These polyps cause severe conditions in the colon or rectum …

Colorectal cancer has been one of the leading causes of mortality over the past decade, and
colorectal polyps are the leading cause of this disease. Conventional polyp detection …

Early detection and characterization of adenomatous polyps, the precursors to colorectal
cancer is crucial for effective diagnosis and treatment of colorectal cancer. A suitably trained …

The purpose of this research is to contribute to the development of approaches for the
classification and segmentation of various gastrointestinal (GI) cancer diseases, such as …

One of the most severe cancers worldwide is Colorectal Cancer (CRC), which has the third-
highest incidence of cancer cases and the second-highest rate of cancer mortality. Early …

Precise identification of colon polyps, which are the principal precursors of colorectal cancer,
is crucial for accurate diagnosis and treatment. Current segmentation methods possess …

In order to meet the pressing demand for early diagnosis in healthcare, we proposed a
unique hybrid architecture in this study that is intended for the categorization of …