DocumentCode
677463
Title
Using CAD systems and e-Learning in radiologists training
Author
Suarez-Ortega, Cesar ; Franco-Valiente, Jose Miguel
Author_Institution
CETA-CIEMAT, Madrid, Spain
fYear
2013
fDate
9-12 Oct. 2013
Firstpage
172
Lastpage
176
Abstract
Breast cancer is one of the most diagnosed types of cancer. Early detection of breast cancer is the best practice to reduce its high mortality rate. Double reading is a common practice to avoid missed cancer cases during the lecture of mammograms. Due to the high cost of this technique and the lack of certified radiologists, computer-aided diagnosis systems have become very popular in the last decade. However, this technique is not perfect, and has some significant disadvantages, like higher recall rates.
Keywords
biomedical education; cancer; computer based training; gynaecology; learning (artificial intelligence); mammography; medical computing; online front-ends; patient diagnosis; pattern classification; radiology; Aloe; BCDR; CAD systems; IMED project; MIWAD; MLC; REST service; Web frontend; auto-evaluation tools; breast cancer; certified radiologists; computer-aided diagnosis systems; doctors; machine learning classifiers; mammograms; medical education; mortality rate; radiologists training; self-assessment e-learning tools; Breast cancer; Design automation; Electronic learning; Medical diagnostic imaging; Radiology; CAD systems; breast cancer; cancer diagnosis; e-Learning; radiology;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location
Lisbon
Print_ISBN
978-1-4673-5800-2
Type
conf
DOI
10.1109/HealthCom.2013.6720661
Filename
6720661
Link To Document