Classification and detection of covid-19 and others chest-related disease from chest x-ray images using convolution neural networks (Record no. 45148)

MARC details
000 -LEADER
fixed length control field 00914nam a2200193 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.7
Author Mark TAJ
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Tajmal Hussain (15517)
245 ## - TITLE STATEMENT
Title Classification and detection of covid-19 and others chest-related disease from chest x-ray images using convolution neural networks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Lahore
Name of publisher (unpublished)
Date of publication 2022
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 87 p.
Illustrations : ill.
Dimensions ; 30 cm.
500 ## - GENERAL NOTE
General note Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.<br/>
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General note Includes bibliographical references <br/>
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General note Thesis supervisor: Dr. Muhammad Tahir Naseem<br/>
502 ## - DISSERTATION NOTE
Dissertation note Thesis (MSCS)--Riphah International University, 2022<br/>
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Computer science
-- Networks
Keywords Machine learning
Subject Chest X-Rays
Keywords Covid-19
-- X-ray images
-- Neural networks
-- FC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Full call number Barcode Koha item type
NOT for LOAN Lahore Raiwind Campus Lahore Raiwind Campus 006.7 TAJ 59520 Thesis
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