Medical Image Processing: Detection and Prediction of PCOS – A Systematic Literature Review

Purpose: Considered as the most common hormonal disorder among women, polycystic ovary syndrome or PCOS affects 1 in 10 reproductive aged women (18 - 44 years). Ultrasonography is applied for assessing ovaries to detect PCOS. The patients affected by consist of 10-12 cysts present ovary, but more than are enough diagnose from ultrasound images. Then, examining presence follicles will be determined. Therefore, image processing approaches have assisted identify characteristics like follicle size, number and structure minimize workload time doctors. do not better treatment effective diagnosis. This paper includes reviewing a summary some researches that been going area medical Based on review, research gap, agendas carry out further identified. Approach: A detailed study algorithms used classification. Findings: indicated classification ovarian done merely clinical data sets. new hybrid methodology proposed precise both images lifestyle analysed. Originality: type required detection system studied architecture schematic diagram included. Paper Type: Literature Review.