Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation


Nov 20, 2021
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, PÃ¥l Halvorsen, Dag Johansen, Umapada Pal


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Aug 03, 2021
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, HÃ¥vard D. Johansen, PÃ¥l Halvorsen

* BHI 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation


Jul 26, 2021
Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, HÃ¥vard D. Johansen, PÃ¥l Halvorsen, Michael A. Riegler

* Accepted at IEEE Journal of BioMedical and Health Informatics 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation


May 16, 2021
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, HÃ¥vard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, PÃ¥l Halvorsen


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


Apr 22, 2021
Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, HÃ¥vard D. Johansen, Dag Johansen, Thomas de Lange, PÃ¥l Halvorsen

* Accepted at CBMS 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation


Mar 31, 2021
Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, HÃ¥vard D. Johansen, Dag Johansen, Jens Rittscher, PÃ¥l Halvorsen, Sharib Ali


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification


Jan 06, 2021
Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, HÃ¥vard D. Johansen, PÃ¥l Halvorsen


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation


Dec 30, 2020
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, HÃ¥vard D. Johansen, Dag Johansen, Michael A. Riegler, PÃ¥l Halvorsen


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation


Dec 30, 2020
Debesh Jha, Steven A. Hicks, Krister Emanuelsen, HÃ¥vard Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, PÃ¥l Halvorsen

* MediaEval 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>