Article

UniSkin-Net: A Unified Multi-Task Framework for Skin Cancer Segmentation, Classification, and Detection

2025-12-22

Abstract excerpt

<title>Abstract</title> <p>Skin cancer can be considered one of the most widespread types of cancer, so its early diagnosis is essential for increasing patient survival rates. As the number of dermatoscopic images increases and the range of skin lesion types expands, such a system must be accurate and efficient at the image segmentation, classification, and detection stages. This paper introduces UniSkin-Net, a n...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 69926802-dc70-5199-9e6b-0e837fbcb8bc
DOI: 10.21203/rs.3.rs-8314627/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

UniSkin-Net: A Unified Multi-Task Framework for Skin Cancer Segmentation, Classification, and DetectionDOI 10.21203/rs.3.rs-8314627/v1Read

Cancer-Net SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy ImagesSemantic proximity Read

Skin Cancer Detection Using Deep Learning Techniques: A ReviewSemantic proximity Read

SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic ImagesSemantic proximity Read

A Melanoma-Sensitive Deep Learning Model for Multi-Class Skin Cancer Classification Using Dermoscopic ImagesSemantic proximity Read

Precision in Dermatology: Developing an Optimal Feature Selection Framework for Skin Lesion ClassificationSemantic proximity Read

Integrative Approaches for Skin Cancer Detection and Classification : A Dual modal AnalysisSemantic proximity Read

Melanoma Detection Using Deep Learning and Cool & Warm Color SegmentationSemantic proximity Read

AI-based Skin Cancer Detection Algorithms: Opportunities, Challenges and Way ForwardSemantic proximity Read

A Transfer Learning Approach for Skin Cancer Classification Using Dense CNN Optimized with RAdam and CosineAnnealingSemantic proximity Read

Advancing Radiological Dermatology with an Optimized Ensemble Deep Learning Model for Skin Lesion ClassificationSemantic proximity Read

Improved Skin Cancer Detection with 3D Total Body Photography: Integrating AI Algorithms for Precise DiagnosisSemantic proximity Read

Advancing skin cancer diagnosis with a multi‐branch ShuffleNet architectureSemantic proximity Read