Work

Enhanced Cutaneous Melanoma Segmentation in Dermoscopic Images Using a Dual U-Net Framework with Multi-Path Convolution Block Attention Module and SE-Res-Conv

Year: 2025

Type: article

Abstract: With the continuous development of artificial intelligence and machine learning techniques, there have been effective methods supporting the work of dermatologist in the field of skin cancer detection. However, object signifi... | 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.2025.065864

Authors: Kun Lan, Feiyang Gao, Xiaoliang Jiang, Jianzhen Cheng, Simon Fong

Institutions: University of Macau, Quzhou University

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

Funders: Universidade de Macau, Fundo para o Desenvolvimento das Ciências e da Tecnologia, Basic Public Welfare Research Program of Zhejiang Province