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Skin Lesion Classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Subgroup Performance Analysis in Hidden Stratifications
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
A Cascaded Dilated Convolution Approach for Mpox Lesion Classification
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods
Evidential Federated Learning for Skin Lesion Image Classification
LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification
Enhancing Skin Lesion Diagnosis with Ensemble Learning
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning
Non-parametric regularization for class imbalance federated medical image classification
Pay Less On Clinical Images: Asymmetric Multi-Modal Fusion Method For Efficient Multi-Label Skin Lesion Classification
BiasPruner: Debiased Continual Learning for Medical Image Classification
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models
Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks
Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification
Multi-task Explainable Skin Lesion Classification
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
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