Segmentation of Abnormal Cells by Using Level Set Model - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Segmentation of Abnormal Cells by Using Level Set Model

Résumé

Segmentation of image is used from a long time in medical image applications and its study is increased for enhanced the medical diagnosis. This paper concerns a deformable segmentation method for abnormal cells detection by using an improved Level set model which is solved several problems and disadvantages of others segmentation technique. Our approach employed by using real data of carcinoma cells obtained from optical microscopy. Preliminary simulation results showed high performance metrics of the proposed model. Comparative study with manual segmentation demonstrated and confirmed that the level set can be a promise model of abnormal cells detection and in a particularly an irregular shape like carcinoma cells type.
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Dates et versions

hal-01280146 , version 1 (29-02-2016)

Identifiants

  • HAL Id : hal-01280146 , version 1

Citer

Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss. Segmentation of Abnormal Cells by Using Level Set Model. 2014 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), Nov 2014, Metz, France. pp.770-773. ⟨hal-01280146⟩
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