Characterization of Infertility using Ultrasonography

Zeinalabdeen, Manal Z. A.; Garelnabi, Mohamed Elfadil Mohamed

doi:10.36347/sjams.2020.v08i10.021

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…PAGE 82 introduced to form pictures of human body for detecting the symptoms, providing treatment and monitoring the medication progress [9,10]. Among the imaging methods, ultrasonography is predominantly applied for imaging uterus, kidney and liver since it is non-invasive and less radiated imaging method and also it is adaptable, transferable, portable, inexpensive and has better temporal resolution.…”

Section: Srinivas Publicationmentioning

confidence: 99%

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

Pulluparambil

Bhat

2021

IJHSP

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

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Section: Srinivas Publicationmentioning

confidence: 99%

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

Pulluparambil

Bhat

2021

IJHSP

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Classification of PCOS Using Machine Learning Algorithms Based on Ultrasound Images of Ovaries

Poorani¹,

Khilar²

2023

2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)

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Incidence of infertility in females and Evaluation of its Causes Using Ultrasonography

Shahzad

John

Ali

et al. 2022

PBMJ

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Infertility is a condition in which a woman is not able to conceive following 12 months of regular and unprotected intercourse. It is a major health issue that affects 186 million people worldwide. Objective: To determine the incidence and causes of infertility in females using ultrasound. Methods: It is a cross-sectional study conducted in a private diagnostic Centre in Gujrat, Pakistan, over a period of 4 months. A sample size of 75 was calculated using a convenient approach after informed consent. Patients subjected to ultrasonography were married, diagnosed infertile women between 20–45 years. Patients with hysterectomy or congenital ovarian abnormalities were excluded. Collected data was analyzed using SPSS version 20. Results: The study showed that the incidence of infertility is higher in 20-25 age group and least in 41-45 age group. The majority of females 51(68%) had primary infertility while 24(32%) had secondary infertility. The majority of infertile women were from a moderate socioeconomic background. The common cause of infertility was due to submucosal fibroid 25(33.3%), hormonal imbalance in 16(21.3%) and PCOS in 14(18.17%). Conclusions: The study concluded that the incidence of infertility is highest in 20-25 age groups. Submucosal fibroid, hormonal imbalance, and PCOS are the most common causes of infertility in females.

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Characterization of Infertility using Ultrasonography

Cited by 3 publications

References 15 publications

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

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

Classification of PCOS Using Machine Learning Algorithms Based on Ultrasound Images of Ovaries

Incidence of infertility in females and Evaluation of its Causes Using Ultrasonography

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