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Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

, , , , , , and . IEEE J. Biomed. Health Informatics, 19 (5): 1627-1636 (2015)

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Segmenting overlapping cervical cell in Pap smear images., , , , , and . ISBI, page 1159-1162. IEEE, (2016)Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation., , , , , and . ISBI, page 663-666. IEEE, (2017)Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition., , , and . ISBI, page 1878-1881. IEEE, (2019)Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer., , , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 125-132. Springer, (2014)Reversible watermarking scheme for medical image based on differential evolution., , , , , and . Expert Syst. Appl., 41 (7): 3178-3188 (2014)Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters., , , , , , and . ISBI, page 772-775. IEEE, (2013)A practical yield prediction approach using inline defect metrology data for system-on-chip integrated circuits., and . CASE, page 744-749. IEEE, (2017)Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks., , , , , and . DATRA/PIPPI@MICCAI, volume 11076 of Lecture Notes in Computer Science, page 160-168. Springer, (2018)Building dynamic population graph for accurate correspondence detection., , , , , and . Medical Image Anal., 26 (1): 256-267 (2015)A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI., , , , , , , , , and . CoRR, (2020)