Mr. Farhad Ghazvinian Zanjani Profile

Farhad Ghazvinian Zanjani

Student at Technische Univ Eindhoven

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Publications (4)

SPIE Journal Paper | 24 April 2019 Open Access

Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images

Farhad Ghazvinian Zanjani, Svitlana Zinger, Bastian Piepers, Saeed Mahmoudpour, Peter Schelkens, Peter H. de With

JMI, Vol. 6, Issue 02, 027501, (April 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.027501

KEYWORDS: Image compression, Data modeling, Solid modeling, Convolutional neural networks, Tumors, Performance modeling, CAD systems, Computer aided design, Cancer, Computer aided diagnosis and therapy

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Proceedings Article | 18 March 2019 Presentation + Paper

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks

J. van Kersbergen, F. Ghazvinian Zanjani, S. Zinger, F. van der Sommen, B. Balluff, D. R. Vos, S. Ellis, R. M. Heeran, M. Lucas, H. Marquering, I. Jansen, C. Savci-Heijink, D. de Bruin, P. H. de With

Proceedings Volume 10956, 109560I (2019) https://doi.org/10.1117/12.2512360

KEYWORDS: Bladder, Cancer, Tissues, Lung, Mass spectrometry, Convolution, Convolutional neural networks, Tumors, Image classification, Principal component analysis

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Proceedings Article | 13 March 2018 Presentation + Paper

Coherent needle detection in ultrasound volumes using 3D conditional random fields

Farhad Ghazvinian Zanjani, Arash Pourtaherian, Xikai Tang, Svitlana Zinger, Nenad Mihajlovic, Gary Ng, Hendrikus H. Korsten, Peter H. de With

Proceedings Volume 10576, 105760W (2018) https://doi.org/10.1117/12.2293079

KEYWORDS: Volume segmentation, Image-guided intervention, Ultrasonography, Image segmentation, Visualization, Feature selection, 3D image processing

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Proceedings Article | 6 March 2018 Presentation + Paper

Cancer detection in histopathology whole-slide images using conditional random fields on deep embedded spaces

Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. de With

Proceedings Volume 10581, 105810I (2018) https://doi.org/10.1117/12.2293107

KEYWORDS: Feature extraction, Feature selection, Convolutional neural networks, CAD systems, Image segmentation, Digital image processing, Medical image processing, Machine learning, Artificial neural networks, Color image segmentation

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