Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts.
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| Title: | Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts. |
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| Authors: | Li W; Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai 6 Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, 201306, China., Xia Y; Shuyuan Community Health Service Center, Pudong New District, Shanghai, 201304, China., Li Y; Mudanjiang Medical University, Heilongjiang, 157041, China., Wu X; Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai 6 Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, 201306, China. xing_apple@163.com., Shi L; Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai 6 Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, 201306, China. shilin_love@163.com. |
| Source: | Journal of ovarian research [J Ovarian Res] 2026 Apr 15; Vol. 19 (1). Date of Electronic Publication: 2026 Apr 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101474849 Publication Model: Electronic Cited Medium: Internet ISSN: 1757-2215 (Electronic) Linking ISSN: 17572215 NLM ISO Abbreviation: J Ovarian Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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