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Skin Cancer Classification

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TitleStatusHype
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
Model Patching: Closing the Subgroup Performance Gap with Data AugmentationCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
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
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation—0
Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection—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
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
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