Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction-Reference-Cited by-同舟云学术

Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction

Published:2024-05-17 Issue: Volume: Page:58-64
ISSN:
Container-title:Proceedings of the 2024 8th International Conference on Medical and Health Informatics
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Author:

Adjei Prince Ebenezer¹^ORCID,Otoo Obed Kojo²^ORCID,Yang Jinlang³^ORCID,Rao Nini⁴^ORCID

Affiliation:

1. School of Life Sciences, Department of Biomedical Engineering, University of Electronic Science and Technology of China, China and Department of Computer Engineering, Kwame Nkrumah University of Science and Technology, Ghana

2. Department of Radiology, Komfo Anokye Teaching Hospital, Ghana

3. Digestive Endoscopic Center of West China Hospital, Sichuan University, China

4. School of Life Sciences, Department of Biomedical Engineering, University of Electronic Science and Technology of China, China

Funder

Sichuan Natural Science Foundation

National Natural Science Foundation

University of Electronic Science and Technology of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673971.3673993

Reference39 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Significant Rise of Colorectal Cancer Incidence in Younger Adults and Strong Determinants: 30 Years Longitudinal Differences between under and over 50s

3. Long-Term Colorectal-Cancer Incidence and Mortality after Lower Endoscopy

4. Colonoscopy versus Fecal Immunochemical Testing in Colorectal-Cancer Screening

5. Computational pathology: Challenges and promises for tissue analysis