Günümüzde cilt kanseri çevresel koşulların da etkisiyle artış göstermektedir. Cilt kanserinin
birçok farklı türü olmasına rağmen melanom (MEL) kötü huylu ve en ölümcül olanıdır. Bazal …

This research is proposed a design of architecture for melanoma (a kind of skin cancer)
recognition by using a Convolutional Neural Network (CNN), work that will be useful for …

Liver cancer is a leading cause of death worldwide and poses a significant challenge to
physicians in terms of accurate diagnosis and treatment. AI-powered segmentation and …

Over the past several years, technological breakthroughs have driven computer vision to
become increasingly influential and valuable in various sectors. Computer vision has …

In this paper, an augmentation of the RetinaFace model for hair segmentation is proposed
by incorporating a Conditional Generative Adversarial Network (cGAN). The proposed …

Cancer remains a deadly disease. We developed a lightweight, accurate, general-purpose
deep learning algorithm for skin cancer classification. Squeeze-MNet combines a Squeeze …

Skin cancer is one of the most prevalent cancer types. Skin cells proliferate in an
uncontrolled manner due to the extensive exposure of UV light. In addition, doctors can use …

Multitasking learning improves a model's ability to generalize by learning multiple tasks in
parallel. However, it is difficult to know how each task influences the others' learning. In this …

To solve the problems of insufficient feature extraction and the loss of too much image
information in existing methods, a dehazing network based on multi-scale feature fusion …

Este proyecto se propone diseñar una red neuronal para el reconocimiento de melanomas
(un tipo de cáncer de piel), mediante el uso de una técnica conocida como redes …