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Filters: Author is Sravanthi Parasa  [Clear All Filters]
2021
V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen, and S. Parasa. Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images In DDW 2021., 2021.
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V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al. DeepSynthBody: the beginning of the end for data deficiency in medicine In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
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V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen, and S. Parasa. Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy In DDW 2021., 2021.
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V. Thambawita, I. Strümke, S. Hicks, P. Halvorsen, S. Parasa, and M. Riegler. "Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images." Diagnostics 11, no. 12 (2021).
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PDF icon diagnostics-11-02183_1.pdf (3.38 MB)
S. Hicks, D. Jha, V. Thambawita, H. Hammer, T. de Lange, S. Parasa, M. A. Riegler, and P. Halvorsen. Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation In Mediaeval Medico 2021. Mediaeval 2021, 2021.
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