Search Results for author: Junhua Chen

Found 3 papers, 1 papers with code

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study

1 code implementation30 Apr 2021 Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Inigo Bermejo

Moreover, images with different noise levels can be denoised to improve the reproducibility using these models without re-training, as long as the noise intensity is equal or lower than that in high-noise CTs.

Computed Tomography (CT) Denoising

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

no code implementations29 Apr 2021 Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Inigo Bermejo

In this article, we treat lung cancer diagnosis as a multiple instance learning (MIL) problem in order to better reflect the diagnosis process in the clinical setting and for the higher interpretability of the output.

Deep Attention Lung Cancer Diagnosis +2

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