Kidney and Kidney Tumor Segmentation (Record no. 187416)

MARC details
000 -LEADER
fixed length control field 05152nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-3-031-54806-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130328.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031548062
-- 978-3-031-54806-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-54806-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1501-1820
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006
Edition number 23
245 10 - TITLE STATEMENT
Title Kidney and Kidney Tumor Segmentation
Medium [electronic resource] :
Remainder of title MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /
Statement of responsibility, etc edited by Nicholas Heller, Andrew Wood, Fabian Isensee, Tim Rädsch, Resha Teipaul, Nikolaos Papanikolopoulos, Christopher Weight.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent X, 164 p. 76 illus., 73 illus. in color.
Other physical details online resource.
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-- computer
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume number/sequential designation 14540
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 -- Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge -- Dynamic resolution network for kidney tumor segmentation -- Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge -- A Hybrid Network based on nnU-net and Swin Transformer for Kidney Tumor Segmentation -- Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts -- An Ensemble of 2.5D ResUnet Based Models for Segmentation of Kidney and Masses -- Using Uncertainty Information for Kidney Tumor Segmentation -- Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT Images -- GSCA-Net: A global spatial channel attention network for kidney, tumor and cyst segmentation -- Genetic Algorithm enhanced nnU-Net for the MICCAI KiTS23 Challenge -- Two-Stage Segmentation Framework with Parallel Decoders for the Kidney and Kidney Tumor Segmentation -- 3d U-Net with ROI Segmentation of Kidneys and Masses in CT Scans -- Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images -- Cascade UNets for Kidney and Kidney Tumor Segmentation -- Cascaded nnU-Net for Kidney and Kidney Tumor Segmentation -- A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans -- Recursive learning reinforced by redefining the train and validation volumes of an Encoder-Decoder segmentation model -- Attention U-net for Kidney and Masses -- Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge -- 3D Segmentation of Kidneys, Kidney Tumors and Cysts on CT Images - KiTS23 Challenge -- Kidney and Kidney Tumor Segmentation via Transfer Learning.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the Third International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023. The challenge took place in Vancouver, BC, Canada, on October 8, 2023. The 22 contributions presented in this book were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of kidneys, renal tumors and renal cysts.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing
General subdivision Digital techniques.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Heller, Nicholas.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wood, Andrew.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Isensee, Fabian.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rädsch, Tim.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Teipaul, Resha.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Papanikolopoulos, Nikolaos.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Weight, Christopher.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031548055
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031548079
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 14540
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-54806-2">https://doi.org/10.1007/978-3-031-54806-2</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

No items available.

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