Head and Neck Tumor Segmentation and Outcome Prediction (Record no. 15152)

MARC details
000 -LEADER
fixed length control field 01989nam a2200373Ia 4500
000 - LEADER
fixed length control field 05527nam a22003975i 4500
001 - CONTROL NUMBER
control field 978-3-031-27420-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120844.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230317s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031274206
-- 978-3-031-27420-6
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 6
245 ## - TITLE STATEMENT
Title Head and Neck Tumor Segmentation and Outcome Prediction
Statement of responsibility, etc. edited by Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham
Name of publisher, distributor, etc. Springer Nature Switzerland
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XI, 257 p. 75 illus., 67 illus. in color.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training. .
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
9 (RLIN) 30698
Topical term or geographic name entry element Computational and Systems Biology.
9 (RLIN) 30699
Topical term or geographic name entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
9 (RLIN) 30700
Topical term or geographic name entry element Computer vision.
9 (RLIN) 30701
Topical term or geographic name entry element Image processing
9 (RLIN) 30702
Topical term or geographic name entry element Image processing.
9 (RLIN) 30702
Topical term or geographic name entry element Image Processing.
9 (RLIN) 30703
Topical term or geographic name entry element Machine learning.
9 (RLIN) 30704
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 30705
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Andrearczyk, Vincent.
9 (RLIN) 30706
Personal name Depeursinge, Adrien.
9 (RLIN) 30707
Personal name Hatt, Mathieu.
9 (RLIN) 30708
Personal name Oreiller, Valentin.
9 (RLIN) 30709
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-27420-6">https://doi.org/10.1007/978-3-031-27420-6</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2138 2024-03-19 2024-03-19 e-Book Platform:Springer