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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Record no. 88749)

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fixed length control field 07367nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-030-72084-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730173126.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 210326s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030720841
-- 978-3-030-72084-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-72084-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Medium [electronic resource] :
Remainder of title 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I /
Statement of responsibility, etc. edited by Alessandro Crimi, Spyridon Bakas.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 529 p. 197 illus., 180 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 12658
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Invited Papers -- Glioma Diagnosis and Classification: Illuminating the Gold Standard -- Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods -- Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics -- Brain Lesion Image Analysis -- Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks -- Convolutional neural network with asymmetric encoding and decoding structure for brain vessel segmentation on computed tomographic angiography -- Volume Preserving Brain Lesion Segmentation -- Microstructural modulations in the hippocampus allow to characterizing relapsing-remitting versus primary progressive multiple sclerosis -- Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology -- Multivariate analysis is sufficient for lesion-behaviour mapping -- Label-Efficient Multi-Task Segmentation using Contrastive Learning -- Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation -- MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection -- Unsupervised 3D Brain Anomaly Detection -- Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI Tejas Sudharshan Mathai, Yi Wang, Nathan Cross -- Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression -- Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions -- Brain Tumor Segmentation -- Brain Tumor Segmentation Using Dual-Path Attention U-net in 3D MRI Images -- Multimodal Brain Image Analysis and Survival Prediction -- Using Neuromorphic Attention-based Neural Networks -- Context Aware 3D UNet for Brain Tumor Segmentation -- Modality-Pairing Learning for Brain Tumor Segmentation -- Transfer Learning for Brain Tumor Segmentation -- Efficient embedding network for 3D brain tumor segmentation -- Segmentation of the multimodal brain tumor images used Res-U-Net -- Vox2Vox: 3D-GAN for Brain Tumour Segmentation -- Automatic Brain Tumor Segmentation with Scale Attention Network -- Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction -- Overall Survival Prediction for Glioblastoma on Pre-Treatment MRI Using Robust Radiomics and Priors -- Glioma segmentation using encoder-decoder network and survival prediction based on cox analysis -- Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution -- Brain tumour segmentation using a triplanar ensemble of U-Nets on MR images -- MRI brain tumor segmentation using a 2D-3D U-Net ensemble -- Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-Ensemble ResUNet -- MRI Brain Tumor Segmentation and Uncertainty Estimation using 3D-UNet architectures -- Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction -- Uncertainty-driven refinement of tumor core segmentation using 3D-to-2D networks with label uncertainty -- Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation -- MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking -- A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation -- Ensemble of Two Dimensional Networks for Bain Tumor Segmentation -- Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation -- Low-Rank Convolutional Networks for Brain Tumor Segmentation -- Brain tumour segmentation using cascaded 3D densely-connected U-net -- Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction -- Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network -- Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction.
520 ## - SUMMARY, ETC.
Summary, etc. This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 107004
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 1831
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
9 (RLIN) 3953
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
9 (RLIN) 9561
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 107005
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 1831
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
9 (RLIN) 31568
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational and Systems Biology.
9 (RLIN) 31619
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crimi, Alessandro.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 107006
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bakas, Spyridon.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 107007
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 107008
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030720834
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030720858
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 12658
9 (RLIN) 107009
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-72084-1">https://doi.org/10.1007/978-3-030-72084-1</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.