Jan 14, 2021 · We propose a differentiable neural architecture search (DNAS) framework to automatically search for the 3D DL models for 3D chest CT scans classification.

We use three manually designed 3D models to establish the baseline performance on three open-source COVID-. 19 chest CT scan datasets. • To the best of our ...

Nov 4, 2021 · We build an open benchmark dataset Clean-CC-CCII for COVID-19 detection using chest CT scans, and benchmark 9 different CNN architectures with ...

A differentiable neural architecture search (DNAS) framework is proposed to automatically search the 3D DL models for 3D chest CT scans classification and ...

Many recent studies have shown that deep learning (DL) based solutions can help detect COVID-19 based on chest CT scans. However, most existing work focuses on ...

[AAAI2021] Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. Accepted in AAAI-2021. @article ...

Many recent studies have shown that deep learning (DL) based solutions can help detect COVID-19 based on chest CT scans. However, most existing work focuses on ...

Jun 9, 2020 · An automated deep learning methodology is designed to generate a lightweight deep learning model MNas3DNet41 that achieves an accuracy of ...

The automated deep learning design is a promising methodology that can help health-care professionals develop effective deep learning models using their private ...

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