Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi-organ dataset and validated in the liver

Ma, J., Yang, H., Chou, Y., Yoon, J., Allison, T., Komandur, R., McDunn, J., Taneem, A., Do, R. K., Schwartz, L. H., & Zhao, B. (2024). Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi‐organ dataset and validated in the liver. Medical Physics. Portico. https://doi.org/10.1002/mp.17504
Authors:
Jingchen Ma
Hao Yang
Yen Chou
Jin Yoon
Tavis Allison
Ravikumar Komandur
Jon McDunn
Asba Taneem
Richard K Do
Lawrence H Schwartz
Binsheng Zhao
Affiliated Authors:
Jingchen Ma
Hao Yang
Yen Chou
Jin Yoon
Tavis Allison
Lawrence H Schwartz
Binsheng Zhao
Columbia Affiliation:
Author Keywords:
deep learning
lesion detection
lesion segmentation
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Publication Type:
Article
Unique ID:
10.1002/mp.17504
PMID:
39576046
DOI:
10.1002/mp.17504
Journal:
Medical Physics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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