Human eye retinal image classification for glaucoma screening using machine and deep learning approaches / Krishna Santosh Naidana

By:

Contributor(s):

Material type: Text

TextPublication details: Amaravathi VIT-AP UAniversity 2023Description: xvi, 159p. ill. ; 30cmSubject(s):

DDC classification:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Thesis	VIT-AP Reference	Reference	006.31 KRI (Browse shelf(Opens below))	Not for loan	CSE		TH38

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	No cover image available No cover image available	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	006.31 JAM Human Activity Recognition using Mobile and Wearable Sensors with Deep Learning Techniques	006.31 JHA An Effectual System for Pose estimation and Classication of Indian Classical Dance Forms using various Deep Learning Techniques	006.31 KAM Classification of Glaucoma from Retinal Fundus Images Using Machine Learning Algorithms	006.31 KRI Human eye retinal image classification for glaucoma screening using machine and deep learning approaches	006.31 KRI An Effective Deep Learning Technique for Detection and Classification of Cervical Cancer from Pap-Smear Images	006.31 LAK Fine-Grained Sentiment Analysis using Deep Learning Techniques	006.31 LAK Deep Collaborative Movie Recommendation Systems	Next

It includes Abstract, Acknowledgement, Table of Contents, List of Figures, List of Tables, List of Terms and Abbreviations, and Chapters etc.

There are no comments on this title.

to post a comment.