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.
Päätekijät: | Gomes, Veronica Jessica, Alavee, Kazi Ahnaf, Sarda, Anirudh, Akhand, Zebel-E-Noor |
---|---|
Muut tekijät: | Mostakim, Moin |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2022
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/15869 |
Samankaltaisia teoksia
-
Diabetic retinopathy detection and classification by using deep learning
Tekijä: Hossain, Shahriar, et al.
Julkaistu: (2022) -
Diabetic retinopathy detection using machine learning
Tekijä: Maliha, Maisha, et al.
Julkaistu: (2018) -
Diabetic retinopathy detection using image-processing
Tekijä: Zaman, Asif Uz, et al.
Julkaistu: (2016) -
A novel and superior approach to diabetic management: utilization of a fuzzy-logic based system for precision insulin dosing in type 2 diabetes patients
Tekijä: Orni, Proma Roy
Julkaistu: (2018) -
Detection of skin diseases using deep learning
Tekijä: Shodoy, Masuk Ur Rahman
Julkaistu: (2024)