medical image classification

Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification ICCV 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning CVPR 2023 PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023 ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification WACV 2023 ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification CVPR 2022 A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation ACML 2022 BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation CVPR 2022 Early Diagnosis of Lyme Disease by Recognizing Erythema Migrans Skin Lesion from Images Utilizing Deep Learning Techniques IJCAI 2022 M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer CVPR 2022 MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning MIDL 2022 MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification NeurIPS 2022 OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics NeurIPS 2022 Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity MLHC 2022 SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NeurIPS 2022 Big Self-Supervised Models Advance Medical Image Classification ICCV 2021 Deformable Gabor Feature Networks for Biomedical Image Classification WACV 2021 GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021 Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021 Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification MIDL 2021 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification ICCV 2021 Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification WACV 2021 Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs MLHC 2021 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels AISTATS 2021 XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations CVPR 2021