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Fast and low-resource semi-supervise...
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Ma, Jun.
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Fast and low-resource semi-supervised abdominal organ segmentation = MICCAI 2022 Challenge, FLARE 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Fast and low-resource semi-supervised abdominal organ segmentation/ edited by Jun Ma, Bo Wang.
Reminder of title:
MICCAI 2022 Challenge, FLARE 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
remainder title:
MICCAI 2022
other author:
Ma, Jun.
Published:
Cham :Springer Nature Switzerland : : 2022.,
Description:
ix, 328 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computer vision in medicine - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-23911-3
ISBN:
9783031239113
Fast and low-resource semi-supervised abdominal organ segmentation = MICCAI 2022 Challenge, FLARE 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Fast and low-resource semi-supervised abdominal organ segmentation
MICCAI 2022 Challenge, FLARE 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :MICCAI 2022edited by Jun Ma, Bo Wang. - Cham :Springer Nature Switzerland :2022. - ix, 328 p. :ill., digital ;24 cm. - Lecture notes in computer science,138160302-9743 ;. - Lecture notes in computer science ;13816..
This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
ISBN: 9783031239113
Standard No.: 10.1007/978-3-031-23911-3doiSubjects--Topical Terms:
840477
Computer vision in medicine
--Congresses.
LC Class. No.: R859.7.C67
Dewey Class. No.: 610.285637
Fast and low-resource semi-supervised abdominal organ segmentation = MICCAI 2022 Challenge, FLARE 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
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This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
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based on 0 review(s)
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W9448204
電子資源
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EB R859.7.C67
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