SFFS–SVM based prostate carcinoma diagnosis in DCE-MRI via ACM segmentation

Chuan Yu Chang, Kathiravan Srinivasan, Hui Ya Hu, Yuh Shyan Tsai, Vishal Sharma, Punjal Agarwal

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)


The prostate carcinoma is amongst the most commonly occurring cancers in Taiwanese males. Moreover, it is one of the chief reasons for cancer deaths among Taiwanese men, and early diagnosis of prostate cancer is vital for effective treatment. In this work, a diagnosis model for identifying the prostate carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is proposed. The urologists utilize the DCE-MRI as a support mechanism for better diagnosis of the carcinoma development in the prostate. Gadolinium is utilized as the contrast agent for the DCE-MRI data, and it was injected once and the time series data were captured at distinct time intervals of 0, 20, 60, and 100 s correspondingly. Primarily, after pre-processing the DCE-MRI information, the prostate data is segmented by employing the active contour model. Subsequently, 136 features are extracted from the segmented prostrate expanse of the DCE-MRI data, and the relative intensity change curve is computed. Afterward, Fisher’s discriminant ratio and sequential forward floating selection is deployed for choosing ten highly discriminative features. Lastly, the segmented prostate regions are classified into two groups, namely: tumor and normal classes by employing the support vector machine classifier. The experimental results elucidate that the proposed system is superior on the subject of accuracy, sensitivity, and specificity when compared with specific existing methods. Additionally, the proposed system also demonstrates a 94.75% accuracy. Moreover, this signifies the fact that the proposed method for analyzing the DCE data has shown prodigious prospects in the prostate carcinoma diagnosis.

頁(從 - 到)689-710
期刊Multidimensional Systems and Signal Processing
出版狀態Published - 2020 4月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 資訊系統
  • 硬體和架構
  • 電腦科學應用
  • 人工智慧
  • 應用數學


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