A knowledge discovery approach to diagnosing intracranial hematomas on brain CT: Recognition, measurement and classification

Chun Chih Liao, Furen Xiao, Jau Min Wong, I-Jen Chiang

研究成果: 書貢獻/報告類型會議貢獻

10 引文 斯高帕斯(Scopus)

摘要

Computed tomography (CT) of the brain is preferred study on neurological emergencies. Physicians use CT to diagnose various types of intracranial hematomas, including epidural, subdural and intracerebral hematomas according to their locations and shapes. We propose a novel method that can automatically diagnose intracranial hematomas by combining machine vision and knowledge discovery techniques. The skull on the CT slice is located and the depth of each intracranial pixel is labeled. After normalization of the pixel intensities by their depth, the hyperdense area of intracranial hematoma is segmented with multi-resolution thresholding and region-growing. We then apply C4.5 algorithm to construct a decision tree using the features of the segmented hematoma and the diagnoses made by physicians. The algorithm was evaluated on 48 pathological images treated in a single institute. The two discovered rules closely resemble those used by human experts, and are able to make correct diagnoses in all cases.
原文英語
主出版物標題Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
頁面73-82
頁數10
4901 LNCS
出版狀態已發佈 - 2008
事件1st International Conference on Medical Biometrics, ICMB 2008 - Hong Kong, 香港
持續時間: 一月 4 2008一月 5 2008

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4901 LNCS
ISSN(列印)03029743
ISSN(電子)16113349

其他

其他1st International Conference on Medical Biometrics, ICMB 2008
國家香港
城市Hong Kong
期間1/4/081/5/08

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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