Deep learning based early Glaucoma detection
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Autori principali: | Islam, Aabrar, Haque, Ayen Aziza, Tasnim, Najifa, Waliza, Simin |
---|---|
Altri autori: | Karim, Dewan Ziaul |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2024
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/22872 |
Documenti analoghi
-
Decipherable classification of glaucoma using deep neural network leveraging XAI
di: Chayan, Touhidul Islam, et al.
Pubblicazione: (2023) -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
di: Ismail, Sayem Mohammad, et al.
Pubblicazione: (2021) -
RetinalNet-500: a newly developed CNN model for eye disease detection
di: Toki, Sadikul Alim, et al.
Pubblicazione: (2023) -
Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
di: Tasawar, Ihtyaz Kader, et al.
Pubblicazione: (2021) -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
di: Fiona, Driciru, et al.
Pubblicazione: (2024)