The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Skin lesion classification has recently attracted significant attention. Regularly, physicians
take much time to analyze the skin lesions because of the high similarity between these skin …

Artificial Intelligence (AI) has surpassed dermatologists in skin cancer detection, but
dermatology still lags behind radiology in its broader adoption. Building and using AI …

Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …

The malignant melanoma is one of the most aggressive forms of skin cancer. Modern
Dermatology recognizes early diagnosis as a fundamental role in reducing the mortality rate …

This paper describes the process of develo** a classification model for the effective
detection of malignant melanoma, an aggressive type of cancer in skin lesions. Primary …

Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays a
crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly …

Melanoma is a fatal form of skin cancer, which causes excess skin cell growth in the body.
The objective of this work is to develop a two-tier hybrid dual convolution neural network (2 …

Telah berhasil dilakukan klasifikasi kanker paru-paru dari 120 data citra CT Scan. Pada
penelitian, proses preposisi dimulai dengan variasi filtering menggunakan low pass filter …

Skin disorders significantly impact quality of life, necessitating advanced diagnostic tools.
Machine Learning (ML) and Deep Learning (DL), particularly Convolutional Neural …