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. |
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| 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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