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Lesion Classification

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Showing 151–175 of 189 papers

TitleStatusHype
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary—0
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions—0
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification—0
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging—0
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging—0
Segmentation and ABCD rule extraction for skin tumors classification—0
Semi-Supervised Relational Contrastive Learning—0
Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification—0
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent DataCode0
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta DataCode0
Spatio-temporal collaborative multiple-stream transformer network for liver lesion classification on multiple-sequence magnetic resonance imagingCode0
Non-parametric regularization for class imbalance federated medical image classificationCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion ClassificationCode0
A Cascaded Dilated Convolution Approach for Mpox Lesion ClassificationCode0
A Fair Loss Function for Network PruningCode0
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion ImagesCode0
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss WeightingCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
Learn to Segment Retinal Lesions and BeyondCode0
Semi-Supervised Federated Peer Learning for Skin Lesion ClassificationCode0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
Comparative study on different Deep Learning models for Skin Lesion Classification using transfer learning approachCode0
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