SOTAVerified

Skin Cancer Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 45 papers

TitleStatusHype
Model Patching: Closing the Subgroup Performance Gap with Data AugmentationCode1
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
Data Augmentation for Skin Lesion AnalysisCode0
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma ClassificationCode0
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion ClassificationCode0
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer ClassificationCode0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Deep neural network or dermatologist?Code0
Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationCode0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
Knowledge Transfer for Melanoma Screening with Deep LearningCode0
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms—0
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation—0
Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection—0
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism—0
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification—0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network—0
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor—0
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off—0
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.