Literature DB >> 30248184

Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop.

Thomas R Mackie1, Edward F Jackson1, Maryellen Giger2.   

Abstract

BACKGROUND: This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW-2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Medicine FOREM meeting on Imaging Genomics in 2014. AIMS: The goal of PBDW-2017 was to close the gap between theoretical vision and practical experience with encountering and solving challenges in curating and analyzing data.
CONCLUSIONS: Recommendations based on the meetings are summarized.
© 2018 American Association of Physicists in Medicine.

Entities:  

Keywords:  big data; deep learning; imaging biomarkers; quantitative imaging; radiomics

Mesh:

Year:  2018        PMID: 30248184     DOI: 10.1002/mp.13135

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Radiomics Texture Features in Advanced Colorectal Cancer: Correlation with BRAF Mutation and 5-year Overall Survival.

Authors:  Adrian A Negreros-Osuna; Anushri Parakh; Ryan B Corcoran; Ali Pourvaziri; Avinash Kambadakone; David P Ryan; Dushyant V Sahani
Journal:  Radiol Imaging Cancer       Date:  2020-09-18

2.  An efficient magnetic resonance image data quality screening dashboard.

Authors:  Evan D H Gates; Adrian Celaya; Dima Suki; Dawid Schellingerhout; David Fuentes
Journal:  J Appl Clin Med Phys       Date:  2022-02-11       Impact factor: 2.102

3.  National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation.

Authors:  John Kang; Reid F Thompson; Sanjay Aneja; Constance Lehman; Andrew Trister; James Zou; Ceferino Obcemea; Issam El Naqa
Journal:  Pract Radiat Oncol       Date:  2020-06-13

4.  BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.

Authors:  Zixiao Lu; Xiaohui Zhan; Yi Wu; Jun Cheng; Wei Shao; Dong Ni; Zhi Han; Jie Zhang; Qianjin Feng; Kun Huang
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-07-17       Impact factor: 6.409

  4 in total

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