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Chest X-ray images for Multiple diseases

Citation Author(s):
Vijaya Krishna Omtri
Sai Charan Kurupati
Venkata Sai Palla
Ilavarasi A K
Submitted by:
Kurupati Charan
Last updated:
DOI:
10.21227/mece-sa87
Data Format:
Average: 5 (1 vote)

Abstract

This dataset named "Chest X-ray images for Multiple diseases" is a medium sized dataset we collected and produced in 2024 from various sources to predict various Chest-X-ray diseases using Deep learning techniques, primarily from Radiopaedia.org, coronacases.org, Kaggle contains 1000 images for each of the disease namely TB,pneumonia,Covid-19,Normal. This dataset is designed to support the evaluation and development of algorithms to predict various chest x-ray diseases.

Instructions:

The "Chest X-ray dataset" contains 4 sub folders namely TB, Pneumonia, Normal,COVID-19 and in each of them you will have 1000 images of Chest X-rays with dynamic pixel size for each image. So depending on the area of your research you can preprocess the images accordingly.