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Skin Lesion Classification

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Showing 26–50 of 130 papers

TitleStatusHype
A New Perspective to Boost Vision Transformer for Medical Image Classification—0
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Data-Driven Deep Supervision for Skin Lesion Classification—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification—0
A Dense CNN approach for skin lesion classification—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Enhancing Skin Lesion Diagnosis with Ensemble Learning—0
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification—0
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification—0
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation—0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification—0
A Deep Multi-task Learning Approach to Skin Lesion Classification—0
Difficulty-aware Meta-learning for Rare Disease Diagnosis—0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Causality matters in medical imaging—0
Evidential Federated Learning for Skin Lesion Image Classification—0
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework—0
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation—0
Dermoscopic Image Classification with Neural Style Transfer—0
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods—0
Deep neural network ensemble by data augmentation and bagging for skin lesion classification—0
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