Deep learning techniques for medical lesion, tumor and fundus image segmentation : (Record no. 79939)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Malaviya National Institute of Technology Malaviya National Institute of Technology 04/06/2024   621.38 JOS TH00806 04/06/2024 04/06/2024 Thesis