Normal view MARC view ISBD view

Effective breast cancer image segmentation and classification using deep neural networks by Anji Reddy Vaka

By:

Material type:

Mixed materialsLanguage: English Publication details: 2024Description: xxvi, 161p.; 30cmSubject(s):

DDC classification:

Dissertation note: National Institute of Technology, Silchar Doctor of Philosophy (Ph.D.) 2024

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Thesis	National Institute of Technology, Silchar Central Library@NITS	004 VAK (Browse shelf(Opens below))	Available		TH608

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	004 SUR A Digital-Geometric Perspective on Circularity, Sphericality, Discrete Tangent and Related Applicataions	004 TAW Abstractive text summarization evaluation.	004 THI Cryptanalysis and improvement of multiple image and encryption using cross couple chaotic maps based on Cipher-text only attack.	004 VAK Effective breast cancer image segmentation and classification using deep neural networks	004 VAR A hybrid model for analysis and detection of Covid 19 X ray images using Machine learning and Deep learning techniques.	004 WAI Design and development of deep learning based models for inherent tasks in graph structures	004 WAL Excel 2010 Bible	Next

Guided by Badal Soni

National Institute of Technology, Silchar Doctor of Philosophy (Ph.D.) 2024

There are no comments on this title.

to post a comment.