Jun 29, 2022 � We release a large-scale Clinically-Interpretable Radiomics Dataset, CIRDataset, containing 956 radiologist QA/QC'ed spiculation/lobulation annotations on�...
Sep 16, 2022 � We release a large-scale Clinically-Interpretable Radiomics Dataset, CIRDataset, containing 956 radiologist QA/QC'ed spiculation/lobulation annotations on�...
We release a large-scale Clinically-Interpretable Radiomics Dataset, CIRDataset, containing 956 radiologist QA/QC'ed spiculation/lobulation annotations on�...
Jun 4, 2024 � As part of this paper, we release a large-scale Clinically-Interpretable Radiomics Dataset, CIRDataset, containing 956 radiologist QA/QC'ed�...
CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction. https://doi.org/10.1007/978-3-031-16443-9_2�...
Nov 15, 2022 � The CIRDataset provides a large-scale dataset of 956 annotated lung nodules with segmentations and classifications of spiculations and�...
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As part of this paper, we release a large-scale Clinically-Interpretable Radiomics Dataset, CIRDataset, containing 956 radiologist QA/QC'ed spiculation/�...
CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction � Lung Nodule Classification Using Deep Features�...
To meet the needs of both low-dose and noncontrast screening, we collect a large-scale dataset of 12,852 and 4,029 nodules from low-dose and noncontrast CTs�...
Jul 2, 2024 � ... Cirdataset: A large-scale dataset for clinically-interpretable lung nodule radiomics and malignancy prediction. In: International Conference�...