An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT-Reference-Cited by-同舟云学术

An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT

Published:2017-05-23 Issue:7 Volume:44 Page:3556-3569
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Alilou Mehdi¹,Beig Niha¹,Orooji Mahdi¹,Rajiah Prabhakar²,Velcheti Vamsidhar³,Rakshit Sagar³,Reddy Niyoti³,Yang Michael⁴,Jacono Frank⁵,Gilkeson Robert C.⁶,Linden Philip⁷,Madabhushi Anant¹

Affiliation:

1. Department of Biomedical Engineering; Case Western Reserve University; Cleveland OH 44106 USA

2. Department of Radiology; University of Texas Southwestern Medical Centre; Dallas TX 75390 USA

3. Taussig Cancer Institute; Cleveland Clinic; Cleveland OH 44195 USA

4. Department of Pathology; University Hospital Cleveland Medical Center; Cleveland OH 44106 USA

5. Division of Pulmonology and Critical Care; Louis Stokes Cleveland VA Medical Center; Cleveland OH 44106 USA

6. Department of Radiology; University Hospital Cleveland Medical Center; Cleveland OH 44106 USA

7. Division of Thoracic and Esophageal Surgery; University Hospital Cleveland Medical Center; Cleveland OH 44106 USA

Funder

National Institutes of Health

National Institute of Diabetes and Digestive and Kidney Diseases

DOD Prostate Cancer Synergistic Idea Development Award

DOD Lung Cancer Idea Development New Investigator Award

DOD Prostate Cancer Idea Development Award

Case Comprehensive Cancer Center Pilot Grant VelaSano Grant

Cleveland Clinic the Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering at Case Western Reserve University

Publisher

Wiley

Subject

General Medicine

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4. Histology-CT fusion facilitates the characterization of suspicious lung lesions with no, minimal, and significant invasion on CT;Rusu;Lab Invest,2015

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