期刊
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
卷 15, 期 1-2, 页码 1-11出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0129065705000013
关键词
Probabilistic Neural Network; Support Vector Machines; microscopy; astrocytomas; grading
资金
- NCRR NIH HHS [U54 RR021813, P41 RR013642] Funding Source: Medline
A computer-aided diagnosis system was developed for assisting brain astrocytomas malignancy grading. Microscopy images from 140 astrocytic biopsies were digitized and cell nuclei were automatically segmented using a Probabilistic Neural Network pixel-based clustering algorithm. A decision tree classification scheme was constructed to discriminate low, intermediate and high-grade tumours by analyzing nuclear features extracted from segmented. nuclei with a Support Vector Machine classifier. Nuclei were segmented with an average accuracy of 86.5%. Low, intermediate, and high-grade tumours were identified with 95%, 88.3%, and 91% accuracies respectively. The proposed algorithm could be used as a second opinion tool for the histopathologists.
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