Prof. Moi Hoon Yap Profile

Prof. Moi Hoon Yap

Reader at Manchester Metropolitan Univ

SPIE Involvement:

Author

Publications (12)

Proceedings Article | 15 March 2019 Presentation + Paper

The effect of color constancy algorithms on semantic segmentation of skin lesions

Jia hua Ng, Manu Goyal, Brett Hewitt, Moi Hoon Yap

Proceedings Volume 10953, 109530R (2019) https://doi.org/10.1117/12.2512702

KEYWORDS: Image segmentation, Skin, RGB color model, Melanoma, Medical imaging, Image processing algorithms and systems, Image processing

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Proceedings Article | 15 March 2019 Presentation + Paper

Skin lesion boundary segmentation with fully automated deep extreme cut methods

Manu Goyal, Jiahua Ng, Amanda Oakley, Moi Hoon Yap

Proceedings Volume 10953, 109530Q (2019) https://doi.org/10.1117/12.2513015

KEYWORDS: Image segmentation, Skin, Computer aided diagnosis and therapy, Melanoma, Computing systems, Skin cancer, Medical imaging, CAD systems, Binary data, Medicine

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SPIE Journal Paper | 20 February 2019 Open Access

Automatic mass detection in mammograms using deep convolutional neural networks

Richa Agarwal, Oliver Diaz, Xavier Lladó, Moi Hoon Yap, Robert Martí

JMI, Vol. 6, Issue 03, 031409, (February 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031409

KEYWORDS: Mammography, Databases, Breast, Data modeling, Convolutional neural networks, Image classification, Image segmentation, Digital imaging, Image analysis, CAD systems

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SPIE Journal Paper | 10 October 2018

Breast ultrasound lesions recognition: end-to-end deep learning approaches

Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika Denton, Arne Juette, Reyer Zwiggelaar

JMI, Vol. 6, Issue 01, 011007, (October 2018) https://doi.org/10.1117/12.10.1117/1.JMI.6.1.011007

KEYWORDS: Image segmentation, Breast, Ultrasonography, Data modeling, Image classification, Tumor growth modeling, RGB color model, Medical imaging, Classification systems, Image processing

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Proceedings Article | 12 March 2018 Paper

End-to-end breast ultrasound lesions recognition with a deep learning approach

Moi Hoon Yap, Manu Goyal, Fatima Osman, Ezak Ahmad, Robert Martí, Erika Denton, Arne Juette, Reyer Zwiggelaar

Proceedings Volume 10578, 1057819 (2018) https://doi.org/10.1117/12.2293498

KEYWORDS: Breast, Ultrasonography, Image segmentation, Data modeling, Image classification, RGB color model, Classification systems, Feature extraction, Breast cancer, Tumors

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Proceedings Article | 12 March 2018 Paper

Capillary detection in transverse muscle sections

Ahmad Nadim Baharum, Moi Hoon Yap, Glenn Ferris, Ezak Ahmad Fadzrin, Hans Degens

Proceedings Volume 10578, 105781X (2018) https://doi.org/10.1117/12.2292998

KEYWORDS: Capillaries, Image processing, Machine learning, Tissues, Acquisition tracking and pointing, Medicine, Mode conditioning cables, Medical imaging, Image segmentation, Visualization

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Proceedings Article | 24 March 2016 Paper

Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation

Moi Hoon Yap, Chuin Hong Yap

Proceedings Volume 9787, 978718 (2016) https://doi.org/10.1117/12.2208797

KEYWORDS: Image segmentation, Ultrasonography, Breast, Breast cancer, Cancer, Biopsy, Mammography, Image processing, Detection and tracking algorithms, Speckle

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Proceedings Article | 11 March 2014 Paper

Atlas-registration based image segmentation of MRI human thigh muscles in 3D space

Ezak Ahmad, Moi Hoon Yap, Hans Degens, Jamie McPhee

Proceedings Volume 9037, 90371L (2014) https://doi.org/10.1117/12.2043606

KEYWORDS: Image segmentation, Magnetic resonance imaging, Image processing, Bone, Tissues, Image registration, 3D image processing, Digital image processing, Image analysis, Databases

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Proceedings Article | 27 March 2009 Paper

A comparative study in ultrasound breast imaging classification

Moi Hoon Yap, Eran Edirisinghe, Helmut Bez

Proceedings Volume 7259, 72591S (2009) https://doi.org/10.1117/12.811208

KEYWORDS: Tumors, Principal component analysis, Image classification, Ultrasonography, Breast imaging, Feature extraction, Shape analysis, Breast, Fractal analysis, Telecommunications

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Proceedings Article | 13 March 2009 Paper

Individualized grid-enabled mammographic training system

M. H. Yap, A. Gale

Proceedings Volume 7264, 72640V (2009) https://doi.org/10.1117/12.810728

KEYWORDS: Databases, Computing systems, Digital mammography, Medicine, Health informatics, Computer security, Breast, Digital imaging, Medical imaging, Internet

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Proceedings Article | 11 March 2008 Paper

Grid-enabled mammographic auditing and training system

M. H. Yap, A. Gale

Proceedings Volume 6919, 69190A (2008) https://doi.org/10.1117/12.770261

KEYWORDS: Databases, Medicine, Mammography, Medical research, Breast, Information technology, Cancer, Digital mammography, Intelligence systems, Software development

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Proceedings Article | 8 March 2007 Paper

Fully automatic lesion boundary detection in ultrasound breast images

M. Yap, E. Edirisinghe, H. Bez

Proceedings Volume 6512, 65123I (2007) https://doi.org/10.1117/12.708625

KEYWORDS: Image segmentation, Ultrasonography, Breast, Image filtering, Breast cancer, Computer aided diagnosis and therapy, Nonlinear filtering, Tumors, Diagnostics, CAD systems

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Showing 5 of 12 publications

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