Diabetic retinopathy detection and classification by using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Autors principals: | Hossain, Shahriar, Evan, Md. Nurusshafi, Farhin, Fariya Zakir, Nabil, Mashrur Karim, Sadman, Sameen |
---|---|
Altres autors: | Chakrabarty, Amitabha |
Format: | Thesis |
Idioma: | English |
Publicat: |
Brac University
2022
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/16810 |
Ítems similars
-
Early detection of diabetic retinopathy using deep learning techniques
per: Gomes, Veronica Jessica, et al.
Publicat: (2022) -
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
per: Shahriar, Hasan, et al.
Publicat: (2022) -
A deep learning approach towards soft biometrics attributes prediction using CNN
per: Kibria, Maharab, et al.
Publicat: (2022) -
Gender classification in Bangla language using deep learning-based voice analysis
per: Hakim, Talukder Juhaer, et al.
Publicat: (2024) -
Thoracic complication detection on chest X-rays using deep learning
per: Ratul, Rizwanul Hoque, et al.
Publicat: (2021)