Curvilinear Triangular Discretization of Biomedical Images

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-19048-8_29 ◽

2015 ◽

pp. 343-354 ◽

Cited By ~ 1

Author(s):

Jing Xu ◽

Andrey N. Chernikov

Keyword(s):

Biomedical Images

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Projection of Simulated Results in Content-Based image Retrieval Systems for Biomedical Images

International Journal of Pharmaceutical Research ◽

10.31838/ijpr/2020.sp2.424 ◽

2020 ◽

Vol 12 (sp2) ◽

Keyword(s):

Image Retrieval ◽

Content Based Image Retrieval ◽

Biomedical Images ◽

Retrieval Systems

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Efficiency of Image Fusion Technique Using DCT-FP with Modified PCA for Biomedical Images

Bioscience Biotechnology Research Communications ◽

10.21786/bbrc/13.3/14 ◽

2020 ◽

Vol 13 (3) ◽

pp. 1080-1087

Author(s):

C. Rama Mohan

Keyword(s):

Image Fusion ◽

Biomedical Images ◽

Fusion Technique ◽

Image Fusion Technique

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Mult-threshold Object Segmentaton Algorithm on Low-contrast and Noisy Biomedical Images

Proceedings of the 2020 International Symposium on Artificial Intelligence in Medical Sciences ◽

10.1145/3429889.3429914 ◽

2020 ◽

Author(s):

Ronghao Wang ◽

Dingding Jian ◽

Yuying Sun

Keyword(s):

Biomedical Images ◽

Low Contrast

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Comparative Study on Segmentation Techniques for Biomedical Images

2020 32nd International Conference on Microelectronics (ICM) ◽

10.1109/icm50269.2020.9331804 ◽

2020 ◽

Author(s):

Mahmoud ElFiqi ◽

Samar M. Ismail ◽

Mohamed A. Abd El Ghany

Keyword(s):

Comparative Study ◽

Biomedical Images

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Performance evaluation and analysis of population-based metaheuristics for denoising of biomedical images

Research on Biomedical Engineering ◽

10.1007/s42600-021-00125-8 ◽

2021 ◽

Author(s):

Pooja Vineeth ◽

Vinaya Babu M ◽

Shilpa Suresh

Keyword(s):

Performance Evaluation ◽

Population Based ◽

Biomedical Images

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Augmented Deep Learning Architecture to Effectively Segment the Cancerous Regions in Biomedical Images

2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) ◽

10.1109/isssc50941.2020.9358876 ◽

2020 ◽

Author(s):

Sumit Tripathi ◽

Ashish Verma ◽

Neeraj Sharma

Keyword(s):

Deep Learning ◽

Biomedical Images

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Segmentation of biomedical images with joint unsupervised learning

10.1063/5.0035267 ◽

2020 ◽

Author(s):

Grigoriy Zalyatskiy ◽

Alexey Evstratov ◽

Igor Doronin ◽

Ilya Bolkisev ◽

Konstantin Ushenin

Keyword(s):

Unsupervised Learning ◽

Biomedical Images

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Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2020.3036743 ◽

2020 ◽

pp. 1-1

Author(s):

Lan Shen ◽

Min Liu ◽

Chao Wang ◽

Changhao Guo ◽

Erik Meijering ◽

...

Keyword(s):

Biomedical Images ◽

Junction Detection ◽

Reverse Mapping

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A desktop computer-based workstation for display and analysis of 3- and 4-dimensional biomedical images

Computer Methods and Programs in Biomedicine ◽

10.1016/0169-2607(89)90062-x ◽

1989 ◽

Vol 30 (2-3) ◽

pp. 97-110 ◽

Cited By ~ 2

Author(s):

Bradley J. Erickson

Keyword(s):

Desktop Computer ◽

Biomedical Images ◽

Computer Based

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Applying a modified version of Lyapunov exponent for cancer diagnosis in biomedical images: the case of breast mammograms

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-016-0446-8 ◽

2016 ◽

Vol 29 (1) ◽

pp. 19-33 ◽

Cited By ~ 8

Author(s):

Hamed Khodadadi ◽

Ali Khaki-Sedigh ◽

Mohammad Ataei ◽

Mohammad Reza Jahed-Motlagh

Keyword(s):

Lyapunov Exponent ◽

Cancer Diagnosis ◽

Biomedical Images

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