Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries-Reference-Cited by-同舟云学术

Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries

Published:2020-11 Issue: Volume:196 Page:105621
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Potočnik Božidar,Munda Jurij,Reljič Milan,Rakić Ksenija,Knez Jure^ORCID,Vlaisavljević Veljko,Sedej Gašper,Cigale Boris,Holobar Aleš,Zazula Damjan

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference29 articles.

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2. Clinical applications of ultrasound in assessment of follicle development and growth;Vlaisavljević;Donald School J. Ultra. Obst. Gynec.,2007

3. Comparison of automated and manual follicle monitoring in an unrestricted population of 100 women undergoing controlled ovarian stimulation for IVF;Ata;Hum. Reprod.,2010

4. T.D. Deutch, A.Z. Abuhamad, Sonography-based automated volume count (SonoAVC): An efficient and reproducible method of follicular assessment, GE Healthcare, Waukesha, USA, 2007.

5. Automated assessment of ovarian follicles using a novel three-dimensional ultrasound software;Deutch;Fertil. Steril.,2009

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