Work

Data from: An Investigation of Machine Learning Methods in Delta-radiomics Feature Analysis

Year: 2019

Type: dataset

Abstract: This dataset includes 12 patients with advanced brain glioma treated with combination of stereotactic radiosurgery (SRS) and bevacizumab. DICOM files of T1 MRI, T2 FLAIR MRI collected at pre-radiotherapy (RT), one-week post-RT, and two-month post-RT are provided. The post-RT images have been rigidly registered to the pre-RT MRI by experienced medical physicists. The RT structure sets from pre-RT MRI contoured by experienced physicians are provided.

Source: Figshare

DOI: 10.6084/m9.figshare.9943334

Authors: Chang, Yushi, Lafata, Kyle, Wenzheng Sun, Chunhao Wang, Chang, Zheng, Kirkpatrick, John, Yin, Fang-Fang

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394137453

Cites:

Cited by: 1

Related to: 10