Search

Image from Google Jackets

Normal view MARC view ISBD view

Deep learning techniques for medical lesion, tumor and fundus image segmentation : a thesis report

By: Joshi, Abhilasha ( 2017rec9045 )Contributor(s): Sharma, KK [ Supvr.]Material type: Text

Text

TextPublication details: Jaipur Dept of Electronic and Communication Engineering, MNIT 2023 Description: xix,153p. 1 CDSubject(s): Electronic and Communication Engineering | Biomedical Imaging | MS Lesion segmentation | Medical image segmentationDDC classification: 621.38

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Malaviya National Institute of Technology	621.38 JOS (Browse shelf(Opens below))	Not for loan		TH00806

Browsing Malaviya National Institute of Technology shelves Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available		Next
Previous	621.38 JAN Performance analysis of optical CDMA system using generalized code and zero cross correlation code:	621.38 JEW Age estimation using wrinkle features and face triangle:	621.38 JON Design of robust equalizers based on neural networks trained by evolutonary algorithams	621.38 JOS Deep learning techniques for medical lesion, tumor and fundus image segmentation : a thesis report	621.38 KAL Piezoelectric vibration energy harvester	621.38 KAN Semiconductor Devices	621.38 KAN CMOS Digital Integrated Circuits Analysis and Design :	Next

There are no comments on this title.

to post a comment.

Share

©2023 Central Library, Malaviya National Institute of Technology Jaipur