Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.00963 ◽

2020 ◽

Author(s):

Dwarikanath Mahapatra ◽

Behzad Bozorgtabar ◽

Ling Shao

Keyword(s):

Region Segmentation ◽

Retinal Region ◽

Geometric Relation

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Binarization of the Image due to Dynamic Convex Quadrilateral Region Segmentation using GA

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.686 ◽

2014 ◽

Vol 134 (5) ◽

pp. 686-693

Author(s):

Soma Nakamura ◽

Fumihiko Saitoh

Keyword(s):

Region Segmentation ◽

Convex Quadrilateral

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Multi-focus image fusion algorithm based on region segmentation and nonsubsampled Contourlet transform

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.02805 ◽

2010 ◽

Vol 30 (10) ◽

pp. 2805-2807

Author(s):

Tao LIU ◽

Deng-fu ZHANG ◽

Yi-bao HE

Keyword(s):

Image Fusion ◽

Contourlet Transform ◽

Nonsubsampled Contourlet Transform ◽

Fusion Algorithm ◽

Region Segmentation ◽

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Region Segmentation via Deformable Model-Guided Split and Merge

10.21236/ada451541 ◽

2001 ◽

Author(s):

Lifeng Liu ◽

Stan Sclaroff

Keyword(s):

Deformable Model ◽

Region Segmentation ◽

Split And Merge

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Fuzzy Image Region Segmentation Method Based on Non Robust Feature Fitting

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/235209650901160419003640 ◽

2016 ◽

Vol 9 (1) ◽

pp. 39-43

Author(s):

Haifeng Hu

Keyword(s):

Segmentation Method ◽

Image Region ◽

Region Segmentation ◽

Feature Fitting ◽

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M-region Segmentation of Pharyngeal Swab Image Based on Improved U-Net Model**Resrach Supported by Scientific Research Fund of Education Department of Liaoning Province. (LFGD2020004)

2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR) ◽

10.1109/isr50024.2021.9419539 ◽

2021 ◽

Author(s):

Yina Wang ◽

Zechao Xu ◽

Huaici Zhao ◽

Junyou Yang ◽

Shuoyu Wang

Keyword(s):

Scientific Research ◽

Liaoning Province ◽

Research Fund ◽

Education Department ◽

Pharyngeal Swab ◽

Region Segmentation

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Microstructural and mechanical evaluations of region segmentation methods in classifications of osteonecrosis

Journal of Biomechanics ◽

10.1016/j.jbiomech.2020.110208 ◽

2020 ◽

pp. 110208

Author(s):

Chenglong Feng ◽

Lizhen Wang ◽

Peng Xu ◽

Zhaowei Chu ◽

Jie Yao ◽

...

Keyword(s):

Region Segmentation ◽

Segmentation Methods

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Iron ORE Region Segmentation Using High-Resolution Remote Sensing Images Based on Res-U-Net

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324218 ◽

2020 ◽

Author(s):

Noman Mustafa ◽

Juanping Zhao ◽

Zeyu Liu ◽

Zenghui Zhang ◽

Wenxian Yu

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Iron Ore ◽

Remote Sensing Images ◽

Region Segmentation

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Aircraft Target Detection in Polsar Image based on Region Segmentation and Multi-Feature Decision

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324287 ◽

2020 ◽

Author(s):

Ping Han ◽

Bin Lu ◽

Bo Zhou ◽

Binbin Han

Keyword(s):

Target Detection ◽

Region Segmentation

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Edge and region segmentation in high-resolution aerial images using improved kernel density estimation: A hybrid approach

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-191547 ◽

2020 ◽

Vol 39 (1) ◽

pp. 543-560

Author(s):

Muthukumaran Malarvel ◽

Soumya Ranjan Nayak

Keyword(s):

High Resolution ◽

Density Estimation ◽

Kernel Density Estimation ◽

Hybrid Approach ◽

Kernel Density ◽

Aerial Images ◽

Region Segmentation

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Convolution neural network for effective burn region segmentation of color images

Burns ◽

10.1016/j.burns.2020.08.016 ◽

2020 ◽

Author(s):

Joohi Chauhan ◽

Puneet Goyal

Keyword(s):

Neural Network ◽

Color Images ◽

Convolution Neural Network ◽

Region Segmentation

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