Medical_Image_Captioning_on_Chest_X-Rays

In this repository you will find a code for Image captioning of the medical X-Rays using attention encoder and decoder strategy.

Name		Name	Last commit message	Last commit date
Latest commit History 125 Commits
Background		Background
test_images		test_images
.DS_Store		.DS_Store
BLEU Implementation.ipynb		BLEU Implementation.ipynb
EDA.ipynb		EDA.ipynb
Encoder_Decoder_global_attention.h5		Encoder_Decoder_global_attention.h5
Global_Attention_Encoder_Decoder_Model.ipynb		Global_Attention_Encoder_Decoder_Model.ipynb
README.md		README.md
Results_Comparision_&_Productionisation.ipynb		Results_Comparision_&_Productionisation.ipynb
Simple_Encoder_Decoder.ipynb		Simple_Encoder_Decoder.ipynb
Thesis Report_Santhosh_Kurnapally.docx		Thesis Report_Santhosh_Kurnapally.docx
Thesis Report_Santhosh_Kurnapally.pdf		Thesis Report_Santhosh_Kurnapally.pdf
brucechou1983_CheXNet_Keras_0.3.0_weights.h5		brucechou1983_CheXNet_Keras_0.3.0_weights.h5
chexnet_model.png		chexnet_model.png
create_model.py		create_model.py
encoder_decoder_model.png		encoder_decoder_model.png
encoder_decoder_with_attention.png		encoder_decoder_with_attention.png
final.py		final.py
numpy-1.9.2.tar.gz		numpy-1.9.2.tar.gz
requirements.txt		requirements.txt
requirements_with_versioning_old.txt		requirements_with_versioning_old.txt
requirements_without_versioning_old.txt		requirements_without_versioning_old.txt
tokenizer.pickle		tokenizer.pickle

skurnapally/Medical_Image_Captioning_on_Chest_X-Rays