Dr. Stephen M. Hewitt Profile

Dr. Stephen M. Hewitt

at National Cancer Institute

SPIE Involvement:

Author

Proceedings Article | 18 March 2019 Presentation + Paper

Scale embedding shared neural networks for multiscale histological analysis of prostate cancer

Quy Dinh Duong, Dang Quoc Vu, Daigeun Lee, Stephen Hewitt, Kyungeun Kim, Jin Tae Kwak

Proceedings Volume 10956, 1095606 (2019) https://doi.org/10.1117/12.2512807

KEYWORDS: Tissues, Cancer, Pathology, Neural networks, Convolution, Analytical research, Prostate cancer, Convolutional neural networks, Image analysis

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Proceedings Article | 1 March 2017 Paper

Lumen-based detection of prostate cancer via convolutional neural networks

Jin Tae Kwak, Stephen Hewitt

Proceedings Volume 10140, 1014008 (2017) https://doi.org/10.1117/12.2253513

KEYWORDS: Convolutional neural networks, Image processing, Binary data, Image segmentation, Prostate cancer, Tissues, Neural networks, Cancer, Pathology, Prostate, Cognitive informatics, Image classification, Computer aided diagnosis and therapy, Neurons

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Proceedings Article | 19 March 2015 Paper

Uncertainty in the assessment of immunohistochemical staining with optical and digital microscopy: lessons from a reader study

Marios Gavrielides, Brandon Gallas, Stephen Hewitt

Proceedings Volume 9420, 94200V (2015) https://doi.org/10.1117/12.2082243

KEYWORDS: Optical microscopy, Tissue optics, Pathology, Diagnostics, Microscopy, Microscopes, Breast cancer, Calibration, Light, Tissues

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Proceedings Article | 19 March 2015 Paper

Nucleus detection using gradient orientation information and linear least squares regression

Jin Tae Kwak, Stephen Hewitt, Sheng Xu, Peter Pinto, Bradford Wood

Proceedings Volume 9420, 94200N (2015) https://doi.org/10.1117/12.2081413

KEYWORDS: Image segmentation, Tissues, RGB color model, Image analysis, Cancer, Pathology, Prostate, Chemical analysis, Medical imaging, Image quality

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SPIE Journal Paper | 12 November 2014 Open Access

Evaluation environment for digital and analog pathology: a platform for validation studies

Brandon Gallas, Marios Gavrielides, Catherine Conway, Adam Ivansky, Tyler Keay, Wei-Chung Cheng, Jason Hipp, Stephen Hewitt

JMI, Vol. 1, Issue 03, 037501, (November 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.037501

KEYWORDS: Microscopes, Image registration, Cameras, Pathology, Analog electronics, Glasses, Reticles, MATLAB, Tissues, Imaging systems

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Proceedings Article | 11 March 2014 Paper

eeDAP: an evaluation environment for digital and analog pathology

Brandon Gallas, Wei-Chung Cheng, Marios Gavrielides, Adam Ivansky, Tyler Keay, Adam Wunderlich, Jason Hipp, Stephen Hewitt

Proceedings Volume 9037, 903709 (2014) https://doi.org/10.1117/12.2044443

KEYWORDS: Microscopes, Cameras, Image registration, Pathology, Reticles, Glasses, Analog electronics, Tissues, MATLAB, Transmittance

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Proceedings Article | 29 March 2013 Paper

Quantitative analysis of TDLUs using adaptive morphological shape techniques

Adrian Rosebrock, Jesus Caban, Jonine Figueroa, Gretchen Gierach, Laura Linville, Stephen Hewitt, Mark Sherman

Proceedings Volume 8676, 86760N (2013) https://doi.org/10.1117/12.2006619

KEYWORDS: Breast, Tissues, Breast cancer, Image analysis, Visualization, Cancer, Quantitative analysis, Visual analytics, Shape analysis, Biopsy

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Proceedings Article | 9 March 2010 Paper

Microscopic resolution imaging and proteomics correlation at histogeographically identical location: point by point correlation between ex vivo tissue imaging with high field MRI and multiplex tissue immunoblotting for proteomics profiling

Kant Matsuda, Joon-Yong Chung, Kris Ylaya, Stephen Dodd, Masaki Fukunaga, Stephen Hewitt

Proceedings Volume 7626, 76262B (2010) https://doi.org/10.1117/12.854966

KEYWORDS: Tissues, Magnetic resonance imaging, Proteins, Image resolution, Profiling, Imaging systems, In vivo imaging, Molecular imaging, Positron emission tomography, Glasses

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Showing 5 of 8 publications

Conference Committee Involvement (3)

Digital Pathology

25 February 2015 | Orlando, Florida, United States

Digital Pathology

16 February 2014 | San Diego, California, United States

Digital Pathology

10 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States

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