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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

D. Jha, S. Ali, N. Tomar, H. Johansen, D. Johansen, J. Rittscher, M. Riegler, and P. Halvorsen. IEEE Access, (2021)

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Nikhil Sasidharan

Nikhil Ratanje

Nikhil Jethava

Nikhil Karamchandani

Nikhil Chandra

Other publications of authors with the same name

RUPNet: residual upsampling network for real-time polyp segmentation.N. Tomar, U. Bagci, and D. Jha. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation.N. Tomar, A. Shergill, B. Rieders, U. Bagci, and D. Jha. CoRR, (2022)Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.N. Tomar, A. Srivastava, U. Bagci, and D. Jha. CBMS, page 317-322. IEEE, (2022)TGANet: Text-Guided Attention for Improved Polyp Segmentation.N. Tomar, D. Jha, U. Bagci, and S. Ali. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 151-160. Springer, (2022)FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.N. Tomar, D. Jha, M. Riegler, H. Johansen, D. Johansen, J. Rittscher, P. Halvorsen, and S. Ali. CoRR, (2021)Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.K. Biswas, D. Jha, N. Tomar, G. Durak, A. Medetalibeyoglu, M. Antalek, Y. Velichko, D. Ladner, A. Borhani, and U. Bagci. CoRR, (2023)ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes.A. Ige, N. Tomar, F. Aranuwa, O. Oriola, A. Akingbesote, M. Noor, M. Mazzara, and B. Aribisala. IEEE Access, (2023)Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.S. Ali, N. Ghatwary, D. Jha, E. Isik-Polat, G. Polat, C. Yang, W. Li, A. Galdran, M. Ballester, V. Thambawita and 22 other author(s). CoRR, (2022)FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.N. Tomar, D. Jha, M. Riegler, H. Johansen, D. Johansen, J. Rittscher, P. Halvorsen, and S. Ali. IEEE Trans. Neural Networks Learn. Syst., 34 (11): 9375-9388 (November 2023)Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy.D. Jha, S. Ali, N. Tomar, M. Riegler, D. Johansen, H. Johansen, and P. Halvorsen. BHI, page 1-4. IEEE, (2021)

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Disambiguation of "Tomar, Nikhil Kumar"

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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

Please choose a person to relate this publication to

Nikhil Sasidharan

Nikhil Ratanje

Nikhil Jethava

Nikhil Karamchandani

Nikhil Chandra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tomar, Nikhil Kumar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.

Please choose a person to relate this publication to

Nikhil Sasidharan

Nikhil Ratanje

Nikhil Jethava

Nikhil Karamchandani

Nikhil Chandra

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning.