m2man / AE-CNN

(ICVGIP' 18 Oral Paper) Implementation of AE-CNN for classification of thoracic diseases on ChestX-Ray14 dataset

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AE-CNN

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Network Architecture

Screenshot 1

Results

Table

Acknowledgement:

We would like to thank zoozog and arnoweng for open-sourcing their repos which served as the starting point for our work. Their repos can be found here and here respectively.

Cite

@inproceedings{inproceedings,
author = {Ranjan, Ekagra and Paul, Soumava and Kapoor, Siddharth and Kar, Aupendu and Sethuraman, Ramanathan and Sheet, Debdoot},
year = {2018},
month = {12},
pages = {},
title = {Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain},
doi = {10.1145/3293353.3293408}
}

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(ICVGIP' 18 Oral Paper) Implementation of AE-CNN for classification of thoracic diseases on ChestX-Ray14 dataset


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