Uterine magnetic resonance image segmentation based on deep learning

Journal of Physics Conference Series ◽

10.1088/1742-6596/1861/1/012067 ◽

2021 ◽

Vol 1861 (1) ◽

pp. 012067

Author(s):

Yu’ang Niu ◽

Yuanyang Zhang ◽

Liping Ying ◽

Hong Li ◽

Wenbo Chen ◽

...

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Magnetic Resonance ◽

Magnetic Resonance Image

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A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - Lecture Notes in Computer Science ◽

10.1007/978-3-030-68107-4_29 ◽

2021 ◽

pp. 287-296

Author(s):

Fanwei Kong ◽

Shawn C. Shadden

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Cardiac Magnetic Resonance Image ◽

Learning Approach

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Spine Magnetic Resonance Image Segmentation Using Deep Learning Techniques

2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) ◽

10.1109/icaccs48705.2020.9074218 ◽

2020 ◽

Author(s):

J. Andrew ◽

Murathoti DivyaVarshini ◽

Prerna Barjo ◽

Irene Tigga

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Learning Techniques

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Deep learning in magnetic resonance image reconstruction

Journal of Medical Imaging and Radiation Oncology ◽

10.1111/1754-9485.13276 ◽

2021 ◽

Author(s):

Shekhar S Chandra ◽

Marlon Bran Lorenzana ◽

Xinwen Liu ◽

Siyu Liu ◽

Steffen Bollmann ◽

...

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image

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Versatile Convolutional Networks Applied to Computed Tomography and Magnetic Resonance Image Segmentation

Journal of Medical Systems ◽

10.1007/s10916-021-01751-6 ◽

2021 ◽

Vol 45 (8) ◽

Author(s):

Gonçalo Almeida ◽

João Manuel R. S. Tavares

Keyword(s):

Computed Tomography ◽

Image Segmentation ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Convolutional Networks

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Unsupervised Brain Magnetic Resonance Image Segmentation Using HMRF-FCM Framework

2009 Annual IEEE India Conference ◽

10.1109/indcon.2009.5409417 ◽

2009 ◽

Author(s):

Smita Pradhan ◽

Dipti Patra

Keyword(s):

Image Segmentation ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Brain Magnetic Resonance Image

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Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation

Journal of X-Ray Science and Technology ◽

10.3233/xst-160563 ◽

2016 ◽

Vol 24 (3) ◽

pp. 489-507 ◽

Author(s):

Ahmed Elazab ◽

Yousry M. AbdulAzeem ◽

Shiqian Wu ◽

Qingmao Hu

Keyword(s):

Image Segmentation ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Local Information ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Brain Magnetic Resonance Image

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Magnetic resonance image segmentation using optimized nearest neighbor classifiers

Proceedings of 1st International Conference on Image Processing ◽

10.1109/icip.1994.413890 ◽

2002 ◽

Author(s):

Hong Yan ◽

Jingtong Mao ◽

Yan Zhu ◽

B. Chen

Keyword(s):

Image Segmentation ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Nearest Neighbor ◽

Nearest Neighbor Classifiers

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Implementation of an Efficient and Fully Automated Magnetic Resonance Image Segmentation Through Machine Learning

Electronics and Communications Engineering ◽

10.1201/9781351136822-35 ◽

2019 ◽

pp. 345-360

Author(s):

K. V. Sridhar ◽

I. Hemanth Kumar

Keyword(s):

Machine Learning ◽

Image Segmentation ◽

Magnetic Resonance ◽

Magnetic Resonance Image

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Preliminary Application of Synthetic Computed Tomography Image Generation from Magnetic Resonance Image Using Deep-Learning in Breast Cancer Patients

Journal of Radiation Protection and Research ◽

10.14407/jrpr.2019.44.4.149 ◽

2019 ◽

Vol 44 (4) ◽

pp. 149-155

Author(s):

Wan Jeon ◽

Hyun Joon An ◽

Jung-in Kim ◽

Jong Min Park ◽

Hyoungnyoun Kim ◽

...

Keyword(s):

Breast Cancer ◽

Computed Tomography ◽

Deep Learning ◽

Magnetic Resonance ◽

Magnetic Resonance Image ◽

Image Generation ◽

Breast Cancer Patients ◽

Tomography Image ◽

Computed Tomography Image ◽

Preliminary Application

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Magnetic Resonance Image Segmentation Based on Multi-Scale Convolutional Neural Network

IEEE Access ◽

10.1109/access.2020.2964111 ◽

2020 ◽

Vol 8 ◽

pp. 65758-65768

Author(s):

Jinglong Hao ◽

Xiaoxi Li ◽

Yanxia Hou

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Magnetic Resonance Image ◽

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