conftrace_

medical image classification

81 papers

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Co-occurring keywords

medical imaging (971) semi-supervised learning (2341) contrastive learning (4032) multiple instance learning (227) whole slide image (120) attention mechanism (4001) domain adaptation (4595) convolutional neural network (4226) image classification (1944) chest x-ray (118)

Papers

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models AAAI 2025
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading AAAI 2025
Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation MICCAI 2024
Imbalance-aware loss functions improve medical image classification MIDL 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NIPS 2024
PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024
Are Natural Domain Foundation Models Useful for Medical Image Classification? WACV 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024
Longformer: Longitudinal Transformer for Alzheimer's Disease Classification With Structural MRIs WACV 2024
Learning Quality Labels for Robust Image Classification WACV 2024
Generalizing to Unseen Domains in Diabetic Retinopathy Classification WACV 2024
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification IJCAI 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification AAAI 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis CVPR 2024
Visual Attention Prompted Prediction and Learning IJCAI 2024
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures ACML 2023
Expert load matters: operating networks at high accuracy and low manual effort NIPS 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning CVPR 2023
Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification IJCAI 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification WACV 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification ICCV 2023
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract) AAAI 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023