Artificial intelligence in medicine
The European Society for Artificial Intelligence in Medicine (AIME) was established in 1986
following a very successful workshop held in Pavia, Italy, the year before. The principal aims …
following a very successful workshop held in Pavia, Italy, the year before. The principal aims …
Computer-aided detection and classification of microcalcifications in mammograms: a survey
HD Cheng, X Cai, X Chen, L Hu, X Lou - Pattern recognition, 2003 - Elsevier
Breast cancer continues to be a significant public health problem in the world.
Approximately, 182,000 new cases of breast cancer are diagnosed and 46,000 women die …
Approximately, 182,000 new cases of breast cancer are diagnosed and 46,000 women die …
Computer-aided breast cancer detection using mammograms: a review
The American Cancer Society (ACS) recommends women aged 40 and above to have a
mammogram every year and calls it a gold standard for breast cancer detection. Early …
mammogram every year and calls it a gold standard for breast cancer detection. Early …
ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
J Ren - Knowledge-Based Systems, 2012 - Elsevier
Classification of microcalcification clusters from mammograms plays essential roles in
computer-aided diagnosis for early detection of breast cancer, where support vector …
computer-aided diagnosis for early detection of breast cancer, where support vector …
Image based computer aided diagnosis system for cancer detection
H Lee, YPP Chen - Expert Systems with Applications, 2015 - Elsevier
Cancer is one of the major causes of non-accidental death in human. Early diagnosis of the
disease allows clinician to administer suitable treatment, and can improve the patient's …
disease allows clinician to administer suitable treatment, and can improve the patient's …
Early diagnosis and detection of breast cancer
M Milosevic, D Jankovic, A Milenkovic… - … and Health Care, 2018 - content.iospress.com
BACKGROUND: Breast cancer is the most common malignancy in women. It is often
characterized by a lack of early symptoms, which results in late detection of the disease …
characterized by a lack of early symptoms, which results in late detection of the disease …
Dimensionality reduction of medical big data using neural-fuzzy classifier
AT Azar, AE Hassanien - Soft computing, 2015 - Springer
Massive and complex data are generated every day in many fields. Complex data refer to
data sets that are so large that conventional database management and data analysis tools …
data sets that are so large that conventional database management and data analysis tools …
CADx of mammographic masses and clustered microcalcifications: a review
M Elter, A Horsch - Medical physics, 2009 - Wiley Online Library
Breast cancer is the most common type of cancer among women in the western world. While
mammography is regarded as the most effective tool for the detection and diagnosis of …
mammography is regarded as the most effective tool for the detection and diagnosis of …
[PDF][PDF] A survey on artificial intelligence approaches for medical image classification
In this paper, a survey has been made on the applications of intelligent computing
techniques for diagnostic sciences in biomedical image classification. Several state-of-the …
techniques for diagnostic sciences in biomedical image classification. Several state-of-the …
Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM
This work is directed toward the development of a computer-aided diagnosis (CAD) system
to detect abnormalities or suspicious areas in digital mammograms and classify them as …
to detect abnormalities or suspicious areas in digital mammograms and classify them as …