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A deep learning-based computer-aided determination method for dominant follicle identification and antral follicle count in pelvic MRI images.

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Title: A deep learning-based computer-aided determination method for dominant follicle identification and antral follicle count in pelvic MRI images.
Authors: Hong J; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China., Chen C; Department of Radiology, Fujian Maternal and Child Hospital, Fujian Key Laboratory of Women and Children's Critical Diseases Research, No.18 Daoshan Road, Gulou District, Fuzhou, 350001, Fujian, China., Li M; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China., Qiu J; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China., Dong B; Department of Radiology, Fujian Maternal and Child Hospital, Fujian Key Laboratory of Women and Children's Critical Diseases Research, No.18 Daoshan Road, Gulou District, Fuzhou, 350001, Fujian, China., Lin Y; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China. yplin@xmut.edu.cn.
Source: Biomedical engineering online [Biomed Eng Online] 2026 Feb 20; Vol. 25 (1). Date of Electronic Publication: 2026 Feb 20.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A deep learning-based computer-aided determination method for dominant follicle identification and antral follicle count in pelvic MRI images.
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  Data: <searchLink fieldCode="AU" term="%22Hong+J%22">Hong J</searchLink>; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Radiology, Fujian Maternal and Child Hospital, Fujian Key Laboratory of Women and Children's Critical Diseases Research, No.18 Daoshan Road, Gulou District, Fuzhou, 350001, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Qiu+J%22">Qiu J</searchLink>; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Dong+B%22">Dong B</searchLink>; Department of Radiology, Fujian Maternal and Child Hospital, Fujian Key Laboratory of Women and Children's Critical Diseases Research, No.18 Daoshan Road, Gulou District, Fuzhou, 350001, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Lin+Y%22">Lin Y</searchLink>; School of Optoelectronic and Communication Engineering, Xiamen University of Technology, No.600 Ligong Road, Jimei District, Xiamen, 361024, Fujian, China. yplin@xmut.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101147518%22">Biomedical engineering online</searchLink> [Biomed Eng Online] 2026 Feb 20; Vol. 25 (1). <i>Date of Electronic Publication: </i>2026 Feb 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101147518 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-925X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221475925X%22">1475925X </searchLink><i>NLM ISO Abbreviation: </i>Biomed Eng Online <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12938-026-01518-5
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