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Skin Cancer Classification

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Showing 1–45 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
Knowledge Transfer for Melanoma Screening with Deep LearningCode0
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
Deep neural network or dermatologist?Code0
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional NetworksCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Revisiting Skin Tone Fairness in Dermatological Lesion ClassificationCode0
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature FusionCode0
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
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System—0
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet—0
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification—0
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification—0
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets—0
A CNN toolbox for skin cancer classification—0
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification—0
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review—0
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset—0
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis—0
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification—0
Convolutional Neural Networks for Classifying Melanoma Images—0
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network—0
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms—0
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