Comparison Study of Deep Learning Models for Colorectal Lesions Classification-Reference-Cited by-同舟云学术

Comparison Study of Deep Learning Models for Colorectal Lesions Classification

Published:2020-05-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 the 4th International Conference on Information System and Data Mining
language:
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Author:

Cetinsaya Berk¹,Dials James²,Demirel Doga²,Halic Tansel³,De Suvranu⁴,Gromski Mark⁵,Rex Douglas⁵

Affiliation:

1. University of Central Florida, Orlando, FL

2. Florida Polytechnic University, Lakeland, FL

3. University of Central Arkansas, Conway, AR

4. Renesselaer Polytechnic Institute, Troy, NY

5. Indiana University School of Medicine, Indianapolis, IN

Funder

NIH/NIGMS

NIH/NIBIB

NIAMS

NIH/NHLBI

NIH/NCI

Publisher

ACM

Reference24 articles.

1. "Colorectal cancer statistics " World Cancer Research Fund Aug. 22 2018. https://www.wcrf.org/dietandcancer/cancer-trends/colorectal-cancer-statistics (accessed Dec. 31 2019). "Colorectal cancer statistics " World Cancer Research Fund Aug. 22 2018. https://www.wcrf.org/dietandcancer/cancer-trends/colorectal-cancer-statistics (accessed Dec. 31 2019).

2. "Cancer of the Colon and Rectum - Cancer Stat Facts " SEER. https://seer.cancer.gov/statfacts/html/colorect.html (accessed Dec. 31 2019). "Cancer of the Colon and Rectum - Cancer Stat Facts " SEER. https://seer.cancer.gov/statfacts/html/colorect.html (accessed Dec. 31 2019).

3. Endoscopic Diagnosis and Treatment of Early Colorectal Cancer

4. Role of narrow band imaging in endoscopic submucosal dissection

5. Endoscopic prediction of deep submucosal invasive carcinoma: validation of the Narrow-Band Imaging International Colorectal Endoscopic (NICE) classification

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