Endometrium segmentation on transvaginal ultrasound image using key‐point discriminator-Reference-Cited by-同舟云学术

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Endometrium segmentation on transvaginal ultrasound image using key‐point discriminator

Published:2019-07-31 Issue:9 Volume:46 Page:3974-3984
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Park Hyenok¹,Lee Hong Joo¹,Kim Hak Gu¹,Ro Yong Man¹,Shin Dongkuk²,Lee Sa Ra³,Kim Sung Hoon⁴,Kong Mikyung⁵

Affiliation:

1. School of Electrical Engineering KAIST Daejeon 34141Republic of Korea

2. Medical Image Development Group R&D Center, Samsung Medison Seongnam 13530Republic of Korea

3. Department of Obstetrics and Gynecology Ewha Womans University School of Medicine Seoul 07985Republic of Korea

4. Department of Obstetrics and Gynecology University of Ulsan College of Medicine, Asan Medical Center Seoul 05505Republic of Korea

5. Department of Obstetrics and Gynecology Yonsei University College of Medicine Seoul 03722Republic of Korea

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13677

Reference31 articles.

1. Staging of carcinoma of the uterine cervix and endometrium

2. Segmentation of Uterus Using Laparoscopic Ultrasound by an Image-Based Active Contour Approach for Guiding Gynecological Diagnosis and Surgery

3. Transvaginal ultrasound and diagnostic hysteroscopy as a predictor of endometrial polyps: risk factors for premalignancy and malignancy

4. Endometrial thickness and growth during ovarian stimulation: a possible predictor of implantation in in vitro fertilization*

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4. Artificial intelligent systems in the development of assisted reproductive technologies;Russian Bulletin of Obstetrician-Gynecologist;2024

5. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology;Journal of Clinical Medicine;2023-10-29

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