A semantic web rule and ontologies based architecture for diagnosing breast cancer using select and test algorithm
Background and Objective: Breast cancer is widely known as the most lethal and chronic disease among women. Computational techniques have been applied to support and aid early detection of the disease. Methods such as image analysis, knowledgebase systems, machine learning, reasoning algorithm and n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Computer Methods and Programs in Biomedicine Update |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666990021000331 |