Download PDFOpen PDF in browserFollicle Segmentation using K-means Clustering from Ultrasound Image of OvaryEasyChair Preprint no. 25436 pages•Date: February 4, 2020AbstractDetection of number, shape and size of follicles in the ovary can play an important role in diagnosis and monitoring of different diseases like infertility, PCOS (Polycystic Ovarian Syndrome), ovarian cancer etc. Now-a-days the identification of these characteristics of follicles is done manually by radiologists and doctors from the Ultrasound Images of ovaries. Sometimes manual analysis can be a tedious and error prone job. In this paper a method is proposed for automatic segmentation of follicles from Ultrasound Images using the K-means clustering technique. Keyphrases: follicle detection, K-means clustering, Ovary, Segmentation, Ultrasound images
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