GitHub - AbdulWahabRaza123/Report-generation-work: This is the data preprocessing, cleaning, and model training code for a medical report generation model using deep learning.

This repository contains the code and data used to train the deep learning model responsible for analyzing medical images and generating reports.

Technologies:

Python TensorFlow Dataset:

Indiana University Chest X-ray dataset - You can mention a different dataset if used.

See [Frontend & Backend]([Frontend & Backend Repo Link]) for details on how the trained model is integrated into the user interface.

See [Flask API]([Flask API Repo Link]) for information on the API that generates reports based on uploaded images.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
1)FYPImportDataAndResizeImages.ipynb		1)FYPImportDataAndResizeImages.ipynb
2_1)ReportGenTestFailed.ipynb		2_1)ReportGenTestFailed.ipynb
FYPDataSetAnalyze.ipynb		FYPDataSetAnalyze.ipynb
LICENSE		LICENSE
Model2GRU.ipynb		Model2GRU.ipynb
README.md		README.md
ReportGenerationExtractingFeatures.ipynb		ReportGenerationExtractingFeatures.ipynb
ReportGenerationPreProcess.ipynb		ReportGenerationPreProcess.ipynb
TrainModel.ipynb		TrainModel.ipynb

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