Advanced Computational Methods for Oncological Image Analysis (Record no. 79682)

MARC details
000 -LEADER
fixed length control field 04968naaaa2201141uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/77043
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220095127.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-2555-6
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036525549
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036525556
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-2555-6
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code M
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rundo, Leonardo
Relationship edt
245 10 - TITLE STATEMENT
Title Advanced Computational Methods for Oncological Image Analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Basel, Switzerland
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (262 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. [Cancer is the second most common cause of death worldwide and encompasses highly variable clinical and biological scenarios. Some of the current clinical challenges are (i) early diagnosis of the disease and (ii) precision medicine, which allows for treatments targeted to specific clinical cases. The ultimate goal is to optimize the clinical workflow by combining accurate diagnosis with the most suitable therapies. Toward this, large-scale machine learning research can define associations among clinical, imaging, and multi-omics studies, making it possible to provide reliable diagnostic and prognostic biomarkers for precision oncology. Such reliable computer-assisted methods (i.e., artificial intelligence) together with clinicians’ unique knowledge can be used to properly handle typical issues in evaluation/quantification procedures (i.e., operator dependence and time-consuming tasks). These technical advances can significantly improve result repeatability in disease diagnosis and guide toward appropriate cancer care. Indeed, the need to apply machine learning and computational intelligence techniques has steadily increased to effectively perform image processing operations—such as segmentation, co-registration, classification, and dimensionality reduction—and multi-omics data integration.]
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medicine
Source of heading or term bicssc
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Uncontrolled term melanoma detection
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Uncontrolled term deep learning
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Uncontrolled term ensemble classification
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Uncontrolled term 3D-CNN
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Uncontrolled term immunotherapy
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Uncontrolled term radiomics
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Uncontrolled term self-attention
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Uncontrolled term breast imaging
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Uncontrolled term microwave imaging
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Uncontrolled term image reconstruction
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Uncontrolled term segmentation
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Uncontrolled term unsupervised machine learning
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Uncontrolled term k-means clustering
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Uncontrolled term Kolmogorov-Smirnov hypothesis test
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Uncontrolled term statistical inference
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Uncontrolled term contrast source inversion
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Uncontrolled term brain tumor segmentation
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Uncontrolled term magnetic resonance imaging
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Uncontrolled term survey
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Uncontrolled term brain MRI image
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Uncontrolled term tumor region
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Uncontrolled term skull stripping
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Uncontrolled term region growing
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Uncontrolled term U-Net
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Uncontrolled term BRATS dataset
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Uncontrolled term incoherent imaging
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Uncontrolled term clutter rejection
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Uncontrolled term breast cancer detection
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Uncontrolled term MRgFUS
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Uncontrolled term proton resonance frequency shift
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Uncontrolled term RBF neural networks
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Uncontrolled term interferometric optical fibers
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Uncontrolled term breast cancer
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Uncontrolled term risk assessment
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Uncontrolled term machine learning
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Uncontrolled term mammography
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Uncontrolled term medical imaging
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Uncontrolled term imaging biomarkers
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Uncontrolled term bone scintigraphy
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Uncontrolled term prostate cancer
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Uncontrolled term semisupervised classification
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Uncontrolled term false positives reduction
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Uncontrolled term computer-aided detection
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Uncontrolled term breast mass
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Uncontrolled term mass detection
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Uncontrolled term mass segmentation
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Uncontrolled term Mask R-CNN
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Uncontrolled term brain tumor
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Uncontrolled term shallow machine learning
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Uncontrolled term breast cancer diagnosis
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Uncontrolled term Wisconsin Breast Cancer Dataset
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Uncontrolled term feature selection
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Uncontrolled term dimensionality reduction
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Uncontrolled term principal component analysis
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Uncontrolled term ensemble method
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Uncontrolled term n/a
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Militello, Carmelo
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Conti, Vincenzo
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaccagna, Fulvio
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Han, Changhee
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rundo, Leonardo
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Militello, Carmelo
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Conti, Vincenzo
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaccagna, Fulvio
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Han, Changhee
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/4653">https://mdpi.com/books/pdfview/book/4653</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/77043">https://directory.doabooks.org/handle/20.500.12854/77043</a>
Access status 0
Public note DOAB: description of the publication

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