Domain Adaptation and Representation Transfer

Domain Adaptation and Representation Transfer

4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Koch, Lisa; Xu, Ziyue; Islam, Mobarakol; Tsaftaris, Sotirios; Dou, Qi; Rieke, Nicola; Cardoso, Jorge; Kamnitsas, Konstantinos

Springer International Publishing AG

09/2022

147

Mole

Inglês

9783031168512

15 a 20 dias

256

Descrição não disponível.
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification.- Benchmarking Transformers for Medical Image Classification.- Supervised domain adaptation using gradients transfer for improved medical image analysis.- Stain-AgLr: Stain Agnostic Learning for Computational Histopathology using Domain Consistency and Stain Regeneration Loss.- MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.- Unsupervised site adaptation by intra-site variability alignment.- Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining.- POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.- Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging.- Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images.- Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts.- Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net based Medical Image Segmentation.- CateNorm: Categorical Normalization for Robust Medical Image Segmentation.
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artificial intelligence;bioinformatics;clustering algorithms;color image processing;color images;computer systems;computer vision;data mining;image analysis;image processing;image quality;image segmentation;machine learning;medical images;neural networks;pattern recognition