An Approach to the Detection of Lesions in Mammograms Using Fuzzy Image Processing  

Oleh:

Bayram, B. ; Acar, U.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Journal of International Medical Research vol. 35 no. 06 (Nov. 2007), page 790-795.
Topik: Mammogram

Ketersediaan

Perpustakaan FK Nomor Panggil: J11.K.2007.01 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

An algorithm was developed in this study, using rule-based fuzzy logic, to enable masses that are hard to recognize or detect in mammograms to become more readily perceptible. Small lesions, such as microcalcifications and other masses that are hard to recognize, especially on filmscan mammograms, were processed through segmentation. A total of 40 mammograms were used and they were classified by radiologists into three groups: those with microcalcifications (n = 15), those with tumours (n = 15), and those with no lesions (n = 10). Five mammograms were taken as training data sets from each of the groups with microcalcifications and tumours. The algorithm was then applied to data not taken for training. The algorithm achieved a mean accuracy of 99% compared with the findings of the radiologists.

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