<p>Asherman’s syndrome: current perspectives on diagnosis and management</p>

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Dreisler, Eva, and Jens Jørgen Kjer. “<p>Asherman’s Syndrome: Current Perspectives on Diagnosis and management< p&Gt”;. International Journal of Women’s Health, vol. Volume 11, 2019, pp. 191-8, https://doi.org/10.2147/ijwh.s165474.
Dreisler, E., & Kjer, J. J. (2019). <p>Asherman’s syndrome: current perspectives on diagnosis and management</p>. International Journal of Women’s Health, Volume 11, 191-198. https://doi.org/10.2147/ijwh.s165474
Dreisler E, Kjer JJ. <p>Asherman’s syndrome: current perspectives on diagnosis and management</p>. International Journal of Women’s Health. 2019;Volume 11:191-8.
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Medicine
Medicine
Gynecology and obstetrics
Medicine
Medicine (General)
Citations
Title Journal Journal Categories Citations Publication Date
Deep Learning-Based Three-dimensional Transvaginal Ultrasound in Diagnosis of Intrauterine Adhesion

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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 2 is the most commonly referenced area in studies that cite this article.