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1. Swinbase-Chestxray14-Classification Swinbase-Chestxray14-Classification Public

   Swin-Base (512×512) multi-label classifier for NIH ChestX-ray14 with EMA, weighted BCE loss, official splits, and reproducible training/eval scripts (PyTorch/timm).

   Python 2

2. Nodule-detection-in-Chest-X-rays-using-Swin-Faster-RCNN Nodule-detection-in-Chest-X-rays-using-Swin-Faster-RCNN Public

   This is a pipeline built using Swin backboned Faster-RCNN for the nodule detection in Chest X-ray images. The model is trainined over Node21 dataset (https://node21.grand-challenge.org/).

   Python 2

3. Chest-X-ray-Organ-Segmentation-using-Swin-Unet Chest-X-ray-Organ-Segmentation-using-Swin-Unet Public

   The repository uses VinDr-CXR datset images and the masks provided by the CheXmask dataset to train a Swin backboned Unet network to Segment the organs (Lungs and Heart) in a Chest X-ray image.

   Python 3

4. Sorghum-Crop-Disease-Detection-and-Segmentation-system-for-damage-severity-estimation Sorghum-Crop-Disease-Detection-and-Segmentation-system-for-damage-severity-estimation Public

   An end-to-end solution for early detection, segmentation, and forecasting of rust disease in sorghum using YOLOv8, Segformer_b0, and N-BEATS. This project enables real-time analysis and proactive c…

   Jupyter Notebook 2

5. Sickle-Cell-anemia-Classification-using-Swin-Transformer Sickle-Cell-anemia-Classification-using-Swin-Transformer Public

   This repo contains the jupyter notebook for Swin Transformer to classify the sick cell anemia.

   Jupyter Notebook 4 1

6. Explainable-AI-for-Diabetes-Prediction-Using-SHAP-and-XGBoost Explainable-AI-for-Diabetes-Prediction-Using-SHAP-and-XGBoost Public

   Jupyter Notebook 2