Deep Learning for medical imaging
Predict a bounding box around the heart in X-ray images.
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.
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.
Predict a bounding box around the heart in X-ray images.
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.
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
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