Deep learning techniques for medical lesion, tumor and fundus image segmentation : (Record no. 79938)

MARC details
000 -LEADER
fixed length control field 00655nam a22001817a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240604b |||||||| |||| 00| 0 eng d
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.38
Item number JOS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Joshi, Abhilasha ( 2017rec9045 )
245 ## - TITLE STATEMENT
Title Deep learning techniques for medical lesion, tumor and fundus image segmentation :
Remainder of title a thesis report
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Jaipur
Name of publisher, distributor, etc. Dept of Electronic and Communication Engineering, MNIT
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent xix,153p.
Accompanying material 1 CD
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronic and Communication Engineering
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical Imaging
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MS Lesion segmentation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical image segmentation
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sharma, KK [ Supvr.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Source of classification or shelving scheme Dewey Decimal Classification

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