hnc: NCI QIN Head and Neck Cancer PET Segmentation Challenge

In brian-j-smith/qibm: Quantitative imaging biomarker modeling

Description

A dataset containing tumor volumes derived from different segmentation methods applied to PET imaging scans of cancerous head and neck lesions by institutions participating in a challenge conducted by the NCI Quantitative Imaging Network (QIN).

Usage

hnc

Format

An object of class data.frame with 940 rows and 4 columns.

Details

[,1]	method	factor	unique identifier for the segmentation method.
[,2]	lesion	factor	identifier for the segmented lesion.
[,3]	operator	factor	identifier for the operator performing the segmentation.
[,4]	volume	numeric	segmented volume (ml).

Source

Beichel RR, Smith BJ, Bauer C, Ulrich EJ, Ahmadvand P, Budzevich MM, Gillies RJ, Goldgof D, Grkovski M, Hamarneh G, Huang Q, Kinahan PE, Laymon CM, Mountz JM, Muzi JP, Muzi M, Nehmeh S, Oborski MJ, Tan Y, Zhao B, Sunderland JJ, Buatti JM. “Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.” Medical Physics 2017; 44(2): 479–496.

brian-j-smith/qibm documentation built on May 29, 2019, 2:12 p.m.