rschererstm / cvc_felipe

Visual Field Pipeline

cvc_felipe

• Visual Field Pipeline -

This notebook aims to demonstrate my bridge knowledge between Ophthalmology and Computer Vision. The software sample process visual fields. The codes are mere prototypes without clinical validation.

Dataset

https://github.com/uw-biomedical-ml/uwhvf

Image Retrieval - Autoencoder

https://github.com/ankonzoid/artificio/tree/master/image_retrieval

Anomaly Detection - GAN

https://github.com/openvinotoolkit/anomalib

TRAINED GAN DOWNLOAD MODEL AND REPORTS

https://drive.google.com/drive/folders/1c1gcjQ6Mqg5dLQ8ZyuLXIya8Lwnom7Z2?usp=sharing

AWS LAMBDA JSON FORMAT (FOR CONVERTER)

Example: { "age": "23", "hvf_r": [[100, 100, 100, 26.34, 23.73, 22.84, 24.19, 100, 100 ], [100, 100, 26.25, 27.22, 25.67, 26.18, 27.01, 26.24, 100 ], [100, 22.2, 28.17, 29.2, 28.44, 27.58, 28.51, 28.02, 25.68], [ 20.4, 27.41, 29.73, 30.02, 30.93, 30.36, 30.64, 21, 27.89], [ 20.45, 25.88, 28.9, 32.17, 31.89, 30.91, 28.8, 0, 27.43], [100, 27.16, 29.98, 32.74, 29.95, 32.07, 29.84, 26.99, 27.3 ], [100, 100, 26.88, 29.43, 29.82, 28.64, 29.81, 28.24, 100 ], [100, 100, 100, 28.88, 27.3, 26.82, 28.18, 100, 100]], "hvf_l": [[100, 100, 100, 26.34, 23.73, 22.84, 24.19, 100, 100 ], [100, 100, 26.25, 27.22, 25.67, 26.18, 27.01, 26.24, 100 ], [100, 22.2, 28.17, 29.2, 28.44, 27.58, 28.51, 28.02, 25.68], [ 20.4, 27.41, 29.73, 30.02, 30.93, 30.36, 30.64, 21, 27.89], [ 20.45, 25.88, 28.9, 32.17, 31.89, 30.91, 28.8, 0, 27.43], [100, 27.16, 29.98, 32.74, 29.95, 32.07, 29.84, 26.99, 27.3 ], [100, 100, 26.88, 29.43, 29.82, 28.64, 29.81, 28.24, 100 ], [100, 100, 100, 28.88, 27.3, 26.82, 28.18, 100, 100]], "td_r": [[100, 100, 100, 26.34, 23.73, 22.84, 24.19, 100, 100 ], [100, 100, 26.25, 27.22, 25.67, 26.18, 27.01, 26.24, 100 ], [100, 22.2, 28.17, 29.2, 28.44, 27.58, 28.51, 28.02, 25.68], [ 20.4, 27.41, 29.73, 30.02, 30.93, 30.36, 30.64, 21, 27.89], [ 20.45, 25.88, 28.9, 32.17, 31.89, 30.91, 28.8, 0, 27.43], [100, 27.16, 29.98, 32.74, 29.95, 32.07, 29.84, 26.99, 27.3 ], [100, 100, 26.88, 29.43, 29.82, 28.64, 29.81, 28.24, 100 ], [100, 100, 100, 28.88, 27.3, 26.82, 28.18, 100, 100]], "td_l": [[100, 100, 100, 26.34, 23.73, 22.84, 24.19, 100, 100 ], [100, 100, 26.25, 27.22, 25.67, 26.18, 27.01, 26.24, 100 ], [100, 22.2, 28.17, 29.2, 28.44, 27.58, 28.51, 28.02, 25.68], [ 20.4, 27.41, 29.73, 30.02, 30.93, 30.36, 30.64, 21, 27.89], [ 20.45, 25.88, 28.9, 32.17, 31.89, 30.91, 28.8, 0, 27.43], [100, 27.16, 29.98, 32.74, 29.95, 32.07, 29.84, 26.99, 27.3 ], [100, 100, 26.88, 29.43, 29.82, 28.64, 29.81, 28.24, 100 ], [100, 100, 100, 28.88, 27.3, 26.82, 28.18, 100, 100]] }

Reference

If you use this library and like it, use this to cite it

@misc{cvc_felipe,
      title={CVC: A Notebook for Analyze Visual Fields},
      author={Rafael Scherer},
      year={2023}
}