Chai H, Guo Y, Wang Y, Zhou G. Automatic computer aided analysis algorithms and system for adrenal tumors on CT images.
Technol Health Care 2018;
25:1105-1118. [PMID:
28800344 DOI:
10.3233/thc-160597]
[Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND
The adrenal tumor will disturb the secreting function of adrenocortical cells, leading to many diseases. Different kinds of adrenal tumors require different therapeutic schedules.
OBJECTIVE
In the practical diagnosis, it highly relies on the doctor's experience to judge the tumor type by reading the hundreds of CT images.
METHODS
This paper proposed an automatic computer aided analysis method for adrenal tumors detection and classification. It consisted of the automatic segmentation algorithms, the feature extraction and the classification algorithms. These algorithms were then integrated into a system and conducted on the graphic interface by using MATLAB Graphic user interface (GUI).
RESULTS
The accuracy of the automatic computer aided segmentation and classification reached 90% on 436 CT images.
CONCLUSION
The experiments proved the stability and reliability of this automatic computer aided analytic system.
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