Adaptive Boosting (AdaBoost)‐based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment-Reference-Cited by-同舟云学术

Adaptive Boosting (AdaBoost)‐based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment

Published:2020-03-25 Issue:6 Volume:13 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Li Shuying¹,Zeng Yifeng¹^ORCID,Chapman William C.²,Erfanzadeh Mohsen³,Nandy Sreyankar¹,Mutch Matthew²,Zhu Quing¹⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering Washington University in St. Louis St. Louis Missouri USA

2. Department of Surgery, Section of Colon and Rectal Surgery Washington University School of Medicine St. Louis Missouri USA

3. Department of Biomedical Engineering University of Connecticut Storrs Connecticut USA

4. Department of Radiology Washington University School of Medicine St. Louis Missouri USA

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.201960241

Reference31 articles.

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

2. How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis

3. Endoscopic radiofrequency ablation for Barrett’s esophagus: 5-year outcomes from a prospective multicenter trial

4. Re-epithelialization and immune cell behaviour in an ex vivo human skin model

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model;BMC Psychology;2024-04-24

2. What Is Machine Learning, Artificial Neural Networks and Deep Learning?—Examples of Practical Applications in Medicine;Diagnostics;2023-08-03

3. Performance analysis of machine learning algorithms and screening formulae for β–thalassemia trait screening of Indian antenatal women;International Journal of Medical Informatics;2022-11

4. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with retroperitoneal liposarcoma;2022-10-17

5. Systematic Review of Supervised Machine Learning Models in Prediction of Medical Conditions;2022-04-27