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1. Lungs Segmentation and Classification Using Machine Learning in Chest X-Ray Images

   Keerthana, C.; Azhagusundari, B.

   Journal ArticleJournal ArticlesOpen access

2. Lungs Segmentation and Classification Using Machine Learning in Chest X-Ray Images

   Keerthana, C.; Azhagusundari, B.

   Journal ArticleJournal ArticlesOpen access

3. Lungs Segmentation and Classification Using Machine Learning in Chest X-Ray Images

   Keerthana, C.; Azhagusundari, B.

   Journal ArticleJournal ArticlesOpen access

4. Enhancing Precision in Lung Tumor Detection Using Transformer-Based Models on Multi-Institutional Chest Radiographs

   Malathi Ravindran, R.

   2025Journal ArticleJournal ArticlesOpen access

   …curated multi-institutional dataset comprising the VinDr-CXR, PadChest, NIH ChestX-ray14, and CheXpert collections. In terms of accuracy, sensitivity, and specificity, the model—a Hybrid Swin Transformer coupled with a Vision Transformer…

5. Federated Deep Learning for Privacy-Preserving Early Lung Cancer Detection in Distributed Hospital Networks

   Malathi Ravindran, R.

   2025Journal ArticleJournal ArticlesOpen access

   …Strong diagnostic performance was shown by simulations utilizing the NIH ChestX-ray14 and LIDC-IDRI datasets, with 91.5% accuracy, 93.1% specificity, and 89.6% sensitivity. This study opens the door for privacy-compliant AI implementations in healthcare…

6. AI-Driven Segmentation of Chest Radiographs for Enhanced Early Detection of Lung Cancer

   Malathi Ravindran, R.

   2025Journal ArticleJournal ArticlesOpen access

   …This study presents an AI-driven approach for segmenting lung nodules in chest X-rays using a deep learning model based on the U-Net architecture. The proposed system was trained and evaluated on publicly available datasets, including JSRT and Montgomery…

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