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
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.
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.
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