Mr. Manu Goyal Profile

Manu Goyal

at Manchester Metropolitan Univ

SPIE Involvement:

Author

Publications (4)

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 | 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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