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Filters: 1 is biblio_type:Master's thesis and Author is Nikhil Kumar Tomar  [Reset Search]
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.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.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.
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.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.PDF icon 09369308.pdf (2.6 MB)