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Texture analysis for classification of cervix lesions

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3 Author(s)
Qiang Ji ; Dept. of Comput. Sci., Nevada Univ., Reno, NV, USA ; Engel, J. ; Craine, E.

This paper presents a generalized statistical texture analysis technique for characterizing and recognizing typical, diagnostically most important, vascular patterns relating to cervical lesions from colposcopic images. The contributions of the research include: (1) the introduction of a generalized texture analysis technique based on the combination of the conventional statistical and structural textural analysis approaches by using a statistical description of geometric primitives; (2) the introduction of a set of textural measures that capture the specific characteristics of cervical textures as perceived by humans. An experimental study with real images demonstrated the feasibility and promise of the proposed approach in discriminating between cervical texture patterns indicative of different stages of cervical lesions.

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Medical Imaging, IEEE Transactions on  (Volume:19 ,  Issue: 11 )