Work

Graph Attention Networks for Skin Lesion Classification with CNN-Driven Node Features

Year: 2025

Type: article

Abstract: Skin diseases affect millions worldwide. Early detection is key to preventing disfigurement, lifelong disability, or death. Dermoscopic images acquired in primary-care settings show high intra-class visual similarity and seve... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.069162

Authors: Ghadah Naif Alwakid, Samabia Tehsin, Mamoona Humayun, Asad Farooq, Ibrahim Alrashdi, Amjad Alsirhani

Institutions: Jouf University, Bahria University, University of Roehampton

Language: English

Topic: Cutaneous Melanoma Detection and Management

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4415117138