Article

Early Stage Melanoma Benchmark Dataset

2025-06-24

Abstract excerpt

Early detection of melanoma is crucial for improving patient outcomes, as survival rates decline dramatically with disease progression. Despite significant achievements in deep learning methods for skin lesion analysis, several challenges limit their effectiveness in clinical practice. One of the key issues is the lack of knowledge about the melanoma stage distribution in the training data, raising concerns about...

Topics

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

Identifiers and source

Literature Corpus work: 45ca78dc-8862-52b1-acee-c9ca69b744ed
DOI: 10.20944/preprints202506.2001.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Early Stage Melanoma Benchmark DatasetDOI 10.20944/preprints202506.2001.v1Read

Melanoma Prediction Using a Deep Convolutional Neural Network (CNN) ModelSemantic proximity Read

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

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

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

Deep Learning Models for Automated Classification of Seborrheic Keratosis: A Comprehensive Literature Review and Comparative StudySemantic proximity Read

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

Multimodal Image Dataset for AI-based Skin Cancer (MIDAS) BenchmarkingSemantic proximity Read

XpressO-Melanoma: An Explainable Deep Learning Model for the Prediction of BRAF V600 Mutation Status in Cutaneous MelanomasSemantic proximity Read

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

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