An integrated adaptive bilateral filter-based framework and attention residual U-net for detecting polycystic ovary syndrome

Author:

Bedi Pradeep,Goyal S.B.ORCID,Rajawat Anand Singh,Kumar ManojORCID

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference47 articles.

1. Association between polycystic ovary syndrome and cancer risk;Yin;JAMA Oncol.,2019

2. A prospective study of the prevalence of the polycystic ovary syndrome in unselected Caucasian women from Spain;Asunción;J. Clin. Endocrinol. Metab.,2000

3. Positions statement: criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: an Androgen Excess society guideline;Azziz;J. Clin. Endocrinol. Metab.,2006

4. Insulin resistance and the polycystic ovary syndrome: Mechanism and implications for pathogenesis;Dunaif;Endocr. Rev.,1997

5. Risk of cancer among women with polycystic ovary syndrome: a Danish cohort study;Gottschau;Gynecol. Oncol.,2015

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