Computer Aided Detection of Breast Masses from Digitized Mammograms(Biological Engineering)

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概要

• 論文の詳細を見る

• In this paper, an automated computer-aided-detection scheme is proposed to identify and locate the suspicious masses in the abnormal breasts from the full mammograms. Mammograms are examined using a four-stage detection method including pre-processing, identification of local maxima, seeded region-growing, and false positive (FP) reduction. This method has been applied to the entire Mammographic Image Analysis Society (MIAS) database of 322 digitized mammograms containing 59 biopsy-proven masses in 56 images. Results of detection show 95% true positive (TP) fraction at 1.9FPs per image for the 56 images and 1.3FPs per image for the entire database.

• 社団法人電子情報通信学会の論文
• 2006-06-01

著者

• Zhang Han

  School Of Computer And Comm. Eng. Southwest Jiaotong University

• Zhang Han

  School Of Electrical And Electronic Engineering Nanyang Technological University

• FOO Say-Wei

  School of Electrical and Electronic Engineering, Nanyang Technological University

• Foo Say‐wei

  Nanyang Technological Univ. Sgp

• Foo Say-wei

  School Of Eee Nanyang Technological University

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