Development of machine learning techniques for detecting ophthalmologic conditions
With the advancement of deep learning, transfer learning has gained traction as a method for applications to medical imaging. Ophthalmology is a field that has potential to benefit from transfer learning. This project aims to apply transfer learning on Convolutional Neural Network (CNN) model...
Saved in:
Main Author: | Mak, Abel Chun Hou |
---|---|
Other Authors: | Ng Beng Koon |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/157430 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine learning techniques for ophthalmologic applications
by: Goh, Chong Han
Published: (2021) -
Object detection using machine learning techniques
by: Li, Ling
Published: (2019) -
Study of machine learning techniques for disease detection in the eye
by: Yogaindran S/O Murugan
Published: (2023) -
Defects detection using machine learning in condition monitoring
by: Tan, Jian Jia
Published: (2020) -
Development of machine learning techniques for wearable vital signs monitoring device
by: Ravindran, Daniel
Published: (2021)