Efficient 3D Backbone Network for Temporal Modeling
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Updated
Apr 20, 2021 - Python
Efficient 3D Backbone Network for Temporal Modeling
Designing a 3D CNN architecture for action recognition in video
This repository contains an AI-based diagnostic system for classifying lumbar spine degenerative conditions using MRI scans.
A CNN-based deep learning model for classifying hand gestures into five categories. Trained on ~2,000 labeled images with data augmentation, achieving ~94% validation accuracy. Built using TensorFlow and Keras.
3D Dual Path Network for Lung CT Analysis: Implementation of the 3D DPN from the DeepLung framework for automated pulmonary nodule detection and classification, combining residual and dense connections for efficient, accurate cancer diagnosis on CT scans.
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