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Skin Cancer Classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
CIFF-Net: Contextual Image Feature Fusion for Melanoma Diagnosis
Adversarial Attacks and Defences for Skin Cancer Classification
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor
Skin Cancer Classification using Inception Network and Transfer Learning
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Soft-Attention Improves Skin Cancer Classification Performance
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Melanoma Detection using Adversarial Training and Deep Transfer Learning
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
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