東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data augmentation, labelling, and im...

DALI (Workshop) (2022 :)

Linked to FindBook

Google Book

Amazon

博客來

Data augmentation, labelling, and imperfections = second 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 imperfections/ edited 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:	DALI (Workshop)
Published:	Cham :Springer Nature Switzerland : : 2022.,
Description:	x, 124 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-17027-0
ISBN:	9783031170270

Data augmentation, labelling, and imperfections = second 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 ;13567..

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

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

893542
Diagnostic imaging
--Data processing--Congresses.

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

Dewey Class. No.: 616.0754

Data augmentation, labelling, and imperfections = second MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
LDR:02721nmm a2200361 a 4500 001 2303956
003 DE-He213
005 20220921094905.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031170270 $q (electronic bk.)
020 $a 9783031170263 $q (paper)
024 7 $a 10.1007/978-3-031-17027-0 $2 doi
035 $a 978-3-031-17027-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53 $b D35 2022
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b D143 2022
111 2 $a DALI (Workshop) $n (2nd : $d 2022 : $c Singapore) $3 3605729
245 1 0 $a Data augmentation, labelling, and imperfections $h [electronic resource] : $b second MICCAI workshop, DALI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings / $c edited by Hien V. Nguyen, Sharon X. Huang, Yuan Xue.
246 3 $a DALI 2022
246 3 $a MICCAI 2022
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a x, 124 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13567
505 0 $a 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.
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.
650 0 $a Diagnostic imaging $x Data processing $v Congresses. $3 893542
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computing Milieux. $3 893243
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Nguyen, Hien V. $3 3605730
700 1 $a Huang, Sharon X. $3 3605731
700 1 $a Xue, Yuan. $3 3168351
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a International Conference on Medical Image Computing and Computer-Assisted Intervention $n (25th : $d 2022 : $c Singapore) $3 3605691
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13567. $3 3605732
856 4 0 $u https://doi.org/10.1007/978-3-031-17027-0
950 $a Computer Science (SpringerNature-11645)