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Modularized Adaptive Processing Neural Network (MAP-NN) for Low-dose CT with Radiologists-in-the-loop
RPI ID: 2019-023-201Innovation Summary:This invention introduces a modularized adaptive processing neural network architecture designed for efficient and scalable AI applications. The system dynamically adjusts its structure and processing pathways based on input complexity and task requirements. It supports real-time learning and inference, making...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Hongming Shan
Keywords(s): deep learning, denoising, machine-learning, radiologists-in-the-loop, tomography reconstruction
Category(s): Biotechnology and the Life Sciences
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