Prof. Anders Heyden
Professor at Lund Univ
SPIE Involvement:
Conference Program Committee | Author
Publications (4)

Proceedings Article | 18 March 2019
Proc. SPIE. 10956, Medical Imaging 2019: Digital Pathology
KEYWORDS: Cancer, Convolutional neural networks, Tissues, Biopsy, Neural networks, Prostate, Image classification, Prostate cancer, RGB color model

Proceedings Article | 1 March 2017
Proc. SPIE. 10140, Medical Imaging 2017: Digital Pathology
KEYWORDS: Cancer, Convolutional neural networks, Tissues, Image segmentation, Pathology, Pattern recognition, Inspection, Biopsy, Computer vision technology, Machine vision, Neural networks, Machine learning, Prostate, Image classification, Prostate cancer, RGB color model

Proceedings Article | 23 September 2014
Proc. SPIE. 9217, Applications of Digital Image Processing XXXVII
KEYWORDS: Image processing algorithms and systems, Edge detection, Statistical analysis, Digital image processing, Cameras, Image segmentation, Particles, Image analysis, Machine vision, Binary data

Proceedings Article | 13 March 2013
Proc. SPIE. 8669, Medical Imaging 2013: Image Processing
KEYWORDS: Detection and tracking algorithms, Data modeling, Blood, Ultrasonography, Image segmentation, Heart, 3D modeling, Transducers, Motion models, Statistical modeling

Conference Committee Involvement (1)
Mathematical Methods in Pattern and Image Analysis
3 August 2005 | San Diego, California, United States
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