Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …

With the rapid development of artificial intelligence, much more attention has been paid to
deep learning. However, as the complexity of learning algorithms increases, the needs of …

One of the most significant and challenging areas of computer vision is object recognition
and tracking, which is extensively utilised in many industries including health care …

Scars and skin ulcers are a feature of many skin diseases, including cutaneous
leishmaniasis (CL). In endemic areas and developing countries, infection identification …

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 …

In the present work, the possibility of preventing damage to cars and increasing the safety of
cars using Image Processing has been explored. A method for modifying an image to …

With the rapid development of artificial intelligence, much more attention has been paid to
deep learning. However, as the complexity of learning algorithms increases, the needs of …

Applying deep learning techniques to computer-assisted colonoscopy diagnosis
significantly enhances polyp detection accuracy, thereby contributing to the prevention of …

Deep Learning (DL) models have developed tremendously over the last couple of decades
in their ability to train across large datasets and give fast and accurate results across a …