Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening is a research paper published in Computer Methods and Programs in Biomedicine (2020). On theSindex it has a DataRank of 0. It has been cited 17 times.
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NIA NIH HHS
Grant: R01 AG048769
NCI NIH HHS
Grant: R01 CA172638
NCI NIH HHS
Grant: P30 CA008748
National Institutes of Health
Grant: 5R01AG048769-04
Glymphatic function in a transgenic rat model of Alzheimer's disease
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 4R01CA172638-04
Quantitative PET/CT Analysis to Improve Evaluation of Tumor Response
Air Force Office of Scientific Research
Breast Cancer Research Foundation
National Institutes of Health
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Data From LIDC-IDRI
Data From Phantom FDA
SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset