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Dr. Mercy Nyamewaa Asiedu
Postdoctoral Research Fellow at Massachusetts Institute of Technology
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Publications (4)
Proceedings Article | 4 April 2022 Poster + Paper
A generative adversarial network for ultrasound signal enhancement by transforming low-voltage beamformed radio frequency data to high-voltage data
Proceedings Volume 12038, 120380X (2022) https://doi.org/10.1117/12.2612686
KEYWORDS: Ultrasonography, Signal to noise ratio, Signal attenuation, Image enhancement, Medical imaging, Interference (communication), Network architectures, Image segmentation, Image processing, Data acquisition
Proceedings Article | 7 March 2022 Presentation
A deep learning approach for Cervical Automated Risk Assessment (CARE) using images from a low-cost, portable Pocket colposcope
Proceedings Volume PC11950, PC119500D (2022) https://doi.org/10.1117/12.2608935
KEYWORDS: Cervix, Cervical cancer, Cancer, Visualization, Optical inspection, Receivers, Oncology, Iodine, Diagnostics, Convolutional neural networks
Proceedings Article | 7 March 2022 Presentation
A deep learning approach for Cervical Automated Risk Assessment (CARE) using images from a low-cost, portable Pocket colposcope
Proceedings Volume PC11950, PC119500D (2022) https://doi.org/10.1117/12.2608935
KEYWORDS: Cervix, Cervical cancer, Cancer, Visualization, Optical inspection, Receivers, Oncology, Iodine, Diagnostics, Convolutional neural networks
Proceedings Article | 13 February 2018 Presentation + Paper
Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a low-cost point-of-care digital colposcope
Mercy Nyamewaa Asiedu, Anish Simhal, Christopher Lam, Jenna Mueller, Usamah Chaudhary, John Schmitt, Guillermo Sapiro, Nimmi Ramanujam
Proceedings Volume 10485, 1048508 (2018) https://doi.org/10.1117/12.2282792
KEYWORDS: Specular reflections, Cervix, Pathology, Iodine, RGB color model, Algorithm development, Cervical cancer, Feature extraction, Diagnostics, Machine learning
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