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Data augmentation, labelling, and imperfectionssecond MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data augmentation, labelling, and imperfectionsedited by Hien V. Nguyen, Sharon X. Huang, Yuan Xue.
Reminder of title:	second MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
remainder title:	DALI 2022
other author:	Nguyen, Hien V.
corporate name:
Published:	Cham :Springer Nature Switzerland :2022.
Description:	x, 124 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-17027-0
ISBN:	9783031170270$q(electronic bk.)

Data augmentation, labelling, and imperfectionssecond MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Data augmentation, labelling, and imperfectionssecond MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :DALI 2022edited by Hien V. Nguyen, Sharon X. Huang, Yuan Xue. - Cham :Springer Nature Switzerland :2022. - x, 124 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,135670302-9743 ;. - Lecture notes in computer science ;4891..

Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging -- DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images -- Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study -- Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely -- TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation -- Disentangling A Single MR Modality -- CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation -- Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning -- CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants -- A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data -- Efficient Medical Image Assessment via Self-supervised Learning -- Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-rays.

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.

ISBN: 9783031170270$q(electronic bk.)

Standard No.: 10.1007/978-3-031-17027-0doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53 / D35 2022

Dewey Class. No.: 616.0754

Data augmentation, labelling, and imperfectionssecond MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
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520 $a This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
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