https://github.com/abhiramdodda/eye_disease_oct

Eye diseases can be detected using Retinal Optical Coherence Tomography(OCT). The project aims at building CNN on Retinal OCT images dataset.
https://github.com/abhiramdodda/eye_disease_oct

keras keras-neural-networks sklearn streamlit vgg16

Last synced: about 2 months ago
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Eye diseases can be detected using Retinal Optical Coherence Tomography(OCT). The project aims at building CNN on Retinal OCT images dataset.

• Host: GitHub
• URL: https://github.com/abhiramdodda/eye_disease_oct
• Owner: AbhiramDodda
• Created: 2024-03-10T09:30:41.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-03-10T11:24:46.000Z (10 months ago)
• Last Synced: 2024-03-11T11:44:01.627Z (10 months ago)
• Topics: keras, keras-neural-networks, sklearn, streamlit, vgg16
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Eye_Disease_OCT

Eye diseases can be detected using Retinal Optical Coherence Tomography(OCT). The project aims at building CNN on Retinal OCT images dataset.

Retinal Optical Coherence Tomography (OCT) is an imaging technique used to capture high-resolution cross sections of the retinas of living patients. Approximately 30 million OCT scans are performed each year, and the analysis and interpretation of these images takes up a significant amount of time (Swanson and Fujimoto, 2017).

## Dataset

### Link: https://www.kaggle.com/datasets/paultimothymooney/kermany2018



The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (NORMAL,CNV,DME,DRUSEN). There are 84,495 X-Ray images (JPEG) and 4 categories (NORMAL,CNV,DME,DRUSEN).


Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL.


Optical coherence tomography (OCT) images (Spectralis OCT, Heidelberg Engineering, Germany) were selected from retrospective cohorts of adult patients from the Shiley Eye Institute of the University of California San Diego, the California Retinal Research Foundation, Medical Center Ophthalmology Associates, the Shanghai First People’s Hospital, and Beijing Tongren Eye Center between July 1, 2013 and March 1, 2017.