教師資料查詢 | 類別: 期刊論文 | 教師: 陳啓禎CHII-JEN CHEN (瀏覽個人網頁)

標題:Classification of breast ultrasound images using fractal feature
學年93
學期2
出版(發表)日期2005/07/01
作品名稱Classification of breast ultrasound images using fractal feature
作品名稱(其他語言)
著者Dar-Ren Chen; Ruey-Feng Chang; Chii-Jen Chen; Ming-Feng Ho; Shou-Jen Kuo; Shou-Tung Chen; Shin-Jer Hung; Woo Kyung Moon
單位
出版者
著錄名稱、卷期、頁數Clinical Imaging 29(4), p.235-245
摘要Fractal analyses have been applied successfully for the image compression, texture analysis, and texture image segmentation. The fractal dimension could be used to quantify the texture information. In this study, the differences of gray value of neighboring pixels are used to estimate the fractal dimension of an ultrasound image of breast lesion by using the fractal Brownian motion. Furthermore, a computer-aided diagnosis (CAD) system based on the fractal analysis is proposed to classify the breast lesions into two classes: benign and malignant. To improve the classification performances, the ultrasound images are preprocessed by using morphology operations and histogram equalization. Finally, the k-means classification method is used to classify benign tumors from malignant ones. The US breast image databases include only histologically confirmed cases: 110 malignant and 140 benign tumors, which were recorded. All the digital images were obtained prior to biopsy using by an ATL HDI 3000 system. The receiver operator characteristic (ROC) area index AZ is 0.9218, which represents the diagnostic performance.
關鍵字Fractal;Texture;Ultrasound;Box counting;Brownian motion;Fractal dimension;k-means classification
語言英文(美國)
ISSN1873-4499;0899-7071
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
SDGs
  • 優質教育
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