Domain Adaptation and Representation Transfer : 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / edited by Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris.

Format:

Book

Contributor:

Kamnitsas, Konstantinos, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13542

Language:

English

Subjects (All):

Computer vision.

Computer engineering.

Computer networks.

Machine learning.

Computers.

Application software.

Computer Vision.

Computer Engineering and Networks.

Machine Learning.

Computing Milieux.

Computer and Information Systems Applications.

Local Subjects:

Computer Vision.

Computer Engineering and Networks.

Machine Learning.

Computing Milieux.

Computer and Information Systems Applications.

Physical Description:

1 online resource (158 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022. DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. .

Contents:

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Kamnitsas, Konstantinos Domain Adaptation and Representation Transfer

ISBN:

9783031168529

3031168526