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Filters: 1 is biblio_type:Miscellaneous and Author is Sravanthi Parasa [Reset Search]
Filters: 1 is biblio_type:Miscellaneous and Author is Sravanthi Parasa [Reset Search]
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps In IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2022.
"SinGAN-Seg: Synthetic training data generation for medical image segmentation." PLOS ONE 17, no. 5 (2022): e0267976.
journal.pone_.0267976.pdf (2.66 MB)
Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images In DDW 2021., 2021.
DeepSynthBody: the beginning of the end for data deficiency in medicine In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy In DDW 2021., 2021.
"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).
diagnostics-11-02183_1.pdf (3.38 MB)
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation In Mediaeval Medico 2021. Mediaeval 2021, 2021.