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.

Détails bibliographiques
Auteurs principaux: Gomes, Veronica Jessica, Alavee, Kazi Ahnaf, Sarda, Anirudh, Akhand, Zebel-E-Noor
Autres auteurs: Mostakim, Moin
Format: Thèse
Langue:English
Publié: Brac University 2022
Sujets:
Data preprocessing
Transfer learning
Convolutional neural network
Xception
Inception
Cognitive learning theory (Deep learning)
Diabetic retinopathy
Electronic data processing > Data preparation 286 906984 Engineering
Accès en ligne:http://hdl.handle.net/10361/15869

Internet

http://hdl.handle.net/10361/15869

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