Computer assisted recognition of ovarian follicle/ cysts using texture and intensity parameters

What is it about?

The problem of female infertility due to ovulatory disorders has become a major concern in the recent years. The work deals with the follicle/cyst recognition and ovarian classification for patients with ovulatory disorders by adopting a completely new methodology which combines intensity and texture features. This paper comprises of various preprocessing techniques, intensity based techniques, texture based processing, edge linking and classification techniques for precise follicle detection and ovarian classification which greatly contributes to the efficient analysis of the follicle/cyst

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Why is it important?

The study is important because detection of ovarian follicles or the presence of functional follicular cysts is crucial for proper diagnosis and treatment of infertility. . The proposed technique serves as a decision support system for the physician and enhances effective analysis of the follicles or cysts aiding subsequent diagnosis and treatment.

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