Endometrium segmentation on transvaginal ultrasound image using key‐point discriminator
Medical Physics2019Vol. 46(9), pp. 3974–3984
Citations Over TimeTop 13% of 2019 papers
Hyenok Park, Hong Joo Lee, Hak Gu Kim, Yong Man Ro, Dongkuk Shin, Sa Ra Lee, Sung Hoon Kim, M. Fangfang Kong
Abstract
We proposed a key-point discriminator to train a segmentation network for robust segmentation of the endometrium with TVUS images. By utilizing the key-point information, the proposed method showed more reliable and accurate segmentation performance and outperformed the conventional segmentation networks both in qualitative and quantitative comparisons.
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