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  • Search: subject:"Biomedical Image Processing"
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Year of publication
Subject
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3D Reconstruction 1 Axial HRCT Scans 1 Biomedical Image Processing 1 Biomedical image processing 1 Biopsy 1 Brain 1 Contour Extraction 1 Digital pathology 1 Digital systems 1 Geometrical Meshes 1 Image segmentation 1 Lung 1 MRI Scans 1 Mesh Construction and Rendering 1 Microscopy 1 Pathology 1 Reviews 1 architecture distribution 1 brain cancer grading 1 breast cancer grading 1 cancer 1 cancer detection 1 cancer diagnosis 1 cell morphology 1 cellular biophysics 1 cervix cancer grading 1 classification 1 computerized method 1 diagnostic biomarkers 1 digital histopathology 1 feature computation 1 feature extraction 1 gold standard 1 hematoxylin-eosin staining protocols 1 histopathology 1 histopathology imagery 1 human intervention 1 image classification 1 immunohistochemical staining protocols 1 lung cancer grading 1
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Online availability
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Free 1 Undetermined 1
Type of publication
All
Article 1 Book / Working Paper 1
Language
All
English 1 Undetermined 1
Author
All
Irshad, H. 1 Mukundan, Ramakrishnan 1 Racoceanu, D. 1 Roux, L. 1 Veillard, A. 1
Institution
All
Institute for Quantitative Social Science, Harvard University 1
Published in...
All
International Journal of Multimedia Data Engineering and Management (IJMDEM) 1 Working Paper / Institute for Quantitative Social Science, Harvard University 1
Source
All
RePEc 1 Other ZBW resources 1
Showing 1 - 2 of 2
Cover Image
Contour Based High Resolution 3D Mesh Construction Using HRCT and MRI Stacks
Mukundan, Ramakrishnan - In: International Journal of Multimedia Data Engineering … 8 (2017) 4, pp. 60-73
In this paper, we consider the problem of extracting shape contours from High Resolution Computed Tomography (HRCT) and Magnetic Resonance Imaging (MRI) stacks and using them to construct a three-dimensional mesh surface of the underlying geometry to a high level of detail. While many...
Persistent link: https://www.econbiz.de/10012046532
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Cover Image
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review - Current Status and Future Potential
Irshad, H.; Veillard, A.; Roux, L.; Racoceanu, D. - Institute for Quantitative Social Science, Harvard …
Digital pathology represents one of the major evolutions in modern medicine. Pathological examinations constitute the gold standard in many medical protocols, and also play a critical and legal role in the diagnosis process. In the conventional cancer diagnosis, pathologists analyze biopsies to...
Persistent link: https://www.econbiz.de/10011098206
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