Early detection of diabetic retinopathy using deep learning techniques

Early detection of diabetic retinopathy using deep learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dettagli Bibliografici
Autori principali:	Gomes, Veronica Jessica, Alavee, Kazi Ahnaf, Sarda, Anirudh, Akhand, Zebel-E-Noor
Altri autori:	Mostakim, Moin
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	Data preprocessing Transfer learning Convolutional neural network Xception Inception Cognitive learning theory (Deep learning) Diabetic retinopathy Electronic data processing > Data preparation 286 906984 Engineering
Accesso online:	http://hdl.handle.net/10361/15869

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