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Filters: Author is Nikhil Kumar Tomar  [Clear All Filters]
2021
S. Alam, N. K. Tomar, A. Thakur, D. Jha and A. Rauniyar. Automatic Polyp Segmentation using U-Net-ResNet50 In Medico MediaEval 2020. MediaEval, 2021.
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PDF icon debesh_medico_2020.pdf (375.53 KB)
N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen. DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation In 25th International Conference on Pattern Recognition. Springer, 2021.
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PDF icon endotect_segmentation_debesh.pdf (4.12 MB)
D. Jha, S. Ali, N. K. Tomar, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen. Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2021.
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D. Jha, N. K. Tomar, S. Ali, M. Riegler, H. D. Johansen, D. Johansen, T. de Lange and P. Halvorsen. NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy In 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2021.
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PDF icon 412100a037.pdf (789.29 KB)
D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen. "Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning." IEEE Access 9 (2021): 40496-40510.
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PDF icon 09369308.pdf (2.6 MB)

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