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@article{202877,
        author = {Ms. Helly Sanjaykumar Vyas and Mr. Prakash patel},
        title = {DEEP LEARNING IN MEDICAL IMAGE ANALYSIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7763-7770},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202877},
        abstract = {Medical imaging is really important for healthcare systems because it helps doctors find diseases on. When it comes to imaging, chest X-ray imaging is one of the most common ways to diagnose breathing problems like pneumonia, tuberculosis and other lung issues. Looking at X-ray images by hand can take a long time and sometimes the results are not consistent especially when there are a lot of images to look at.

This research is about using a kind of computer program called deep learning to automatically classify chest X-ray images. We used a type of computer program called DenseNet121 to do this. This program is good at looking at pictures and finding patterns. We also used something called transfer learning to make the program better at classifying images without having to train it from scratch. We had a set of 750 fake chest X-ray images to train and test the program. These images were either normal or abnormal.

To make this work we had to do a thing. First, we had to get the images ready. Then we had to prepare the dataset. After that we trained the model. Checked how well it worked. We also looked at how the model was doing while it was training. We changed the DenseNet121 program a bit so it could classify images as either normal or abnormal.

When we tested the model, it was really good at classifying images. It got it right 90% to 100% of the time. This shows that these kinds of computer programs are really good at finding patterns in chest X-ray images.
This research shows that artificial intelligence can really help doctors diagnose diseases and make decisions.},
        keywords = {Chest X-ray Classification, Deep Learning, DenseNet121 Transfer Learning, Medical Image Analysis, Convolutional Neural Networks (CNN) Pneumonia Detection, Artificial Intelligence, in healthcare.},
        month = {May},
        }