rsna-pneumonia-detection

State-of-the-Art Pneumonia detection from chest X-rays system using EfficientNetV2 + FPN + Faster R-CNN. Features Focal Loss, Weighted Box Fusion, Mosaic Augmentation & StratifiedGroupKFold. Built for RSNA Pneumonia Detection Challenge. Achieves competitive mAP with mixed-precision training.

Deep Learning for medical imaging

Predict a bounding box around the heart in X-ray images.

Project completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Final project of VRDL course in 2021 fall semester at NYCU.

A pneumonia detection system using deep learning. Converts DICOM images to JPEG, trains U-Net model, and predicts pneumonia presence from X-ray images in a GUI. Dataset from RSNA Kaggle Challenge.

Predict a bounding box around the heart in X-ray images.

A medical imaging project using the RSNA Pneumonia Detection Challenge dataset (Chest X-rays)

Selected Topics in Visual Recognition using Deep Learning, NYCU. Final project - RSNA Pneumonia Detection Challenge