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Lesion Classification

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Showing 51–75 of 189 papers

TitleStatusHype
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—0
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI—0
Difficulty-aware Meta-learning for Rare Disease Diagnosis—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography—0
Data-Driven Deep Supervision for Skin Lesion Classification—0
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Araguaia Medical Vision Lab at ISIC 2017 Skin Lesion Classification Challenge—0
EfficientNet for Brain-Lesion classification—0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data—0
Flexible Sampling for Long-tailed Skin Lesion Classification—0
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness—0
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification—0
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans—0
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning—0
Feature visualization for convolutional neural network models trained on neuroimaging data—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Applying a random projection algorithm to optimize machine learning model for breast lesion classification—0
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation—0
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification—0
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation—0
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust—0
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