نتائج البحث

Comparison of deep learning-based image segmentation methods for intravascular ultrasound on retrospective and large image cohort study.

• Authors : Dong, Liang¹ (AUTHOR); Lu, Wei² (AUTHOR); Lu, Xuzhou² (AUTHOR)

• Source: BioMedical Engineering OnLine. 11/28/2023, Vol. 22 Issue 1, p1-14. 14p.

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Advantages of transformer and its application for medical image segmentation: a survey.

• Authors : Pu, Qiumei¹ (AUTHOR); Xi, Zuoxin^1,2 (AUTHOR); Yin, Shuai¹ (AUTHOR)

• Source: BioMedical Engineering OnLine. 2/3/2024, Vol. 23 Issue 1, p1-22. 22p.

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Self-supervised learning framework application for medical image analysis: a review and summary.

• Authors : Zeng, Xiangrui¹ (AUTHOR) ; Abdullah, Nibras² (AUTHOR) ; Sumari, Putra¹ (AUTHOR)

• Source: BioMedical Engineering OnLine. 10/27/2024, Vol. 23 Issue 1, p1-36. 36p.

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Histological image segmentation using fast mean shift clustering method.

• Authors : Geming Wu¹; Xinyan Zhao²; Shuqian Luo¹

• Source: BioMedical Engineering OnLine. 2015, Vol. 14 Issue 1, p1-12. 12p.

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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

• Authors : Qinghao, Miao; Sheng, Zhou; Jun, Yang

Subjects: CRYSTALLINE lens; ACOUSTIC microscopy; ARTIFICIAL intelligence

• Source: BioMedical Engineering OnLine; 5/6/2025, Vol. 24 Issue 1, p1-18, 18p

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Using 2D U-Net convolutional neural networks for automatic acetabular and proximal femur segmentation of hip MRI images and morphological quantification: a preliminary study in DDH.

• Authors : Zhang, Dian; Zhou, Hongyan; Zhou, Tianli

Subjects: CONVOLUTIONAL neural networks; MAGNETIC resonance imaging; FEMUR neck

• Source: BioMedical Engineering OnLine; 10/5/2024, Vol. 23 Issue 1, p1-16, 16p

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An improved level set method for vertebra CT image segmentation.

• Authors : Juying Huang¹; Fengzeng Jian²; Hao Wu²

• Source: BioMedical Engineering OnLine. 2013, Vol. 12 Issue 1, p1-16. 16p. 6 Color Photographs, 1 Black and White Photograph, 3 Charts.

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Pressure ulcer image segmentation technique through synthetic frequencies generation and contrast variation using toroidal geometry

• Authors : David P. Ortiz; Daniel Sierra-Sosa; Begoña García Zapirain

Subjects: Pressure Ulcer; Research; Biomedical Engineering

• Source: Biomed Eng

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Using 2D U-Net convolutional neural networks for automatic acetabular and proximal femur segmentation of hip MRI images and morphological quantification: a preliminary study in DDH

• Authors : Dian Zhang; Hongyan Zhou; Tianli Zhou

Subjects: Developmental dysplasia of the hip; Magnetic resonance imaging; Image segmentation

• Source: BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-16 (2024)

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Super-resolution reconstruction for early cervical cancer magnetic resonance imaging based on deep learning.

• Authors : Chen, Chunxia; Xiong, Liu; Lin, Yongping

Subjects: MAGNETIC resonance imaging; COMPUTER-aided diagnosis; IMAGE analysis

• Source: BioMedical Engineering OnLine; 8/22/2024, Vol. 23 Issue 1, p1-18, 18p

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