Search Results for author: Nikhil Kumar Tomar

Found 7 papers, 3 papers with code

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy

no code implementations5 Jul 2021 Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen

Minimally invasive surgery is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery.

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

1 code implementation22 Apr 2021 Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen

To utilize automated methods in clinical settings, it is crucial to design lightweight models with low latency such that they can be integrated with low-end endoscope hardware devices.

Colorectal Polyps Characterization Instrument Recognition +3

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

no code implementations31 Mar 2021 Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali

With the increase in available large clinical and experimental datasets, there has been substantial amount of work being done on addressing the challenges in the area of biomedical image analysis.

Medical Image Segmentation

Automatic Polyp Segmentation using Fully Convolutional Neural Network

no code implementations11 Jan 2021 Nikhil Kumar Tomar

Then it is tested on a separate unseen dataset to validate the efficiency and speed of the segmentation model.

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