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Dag Johansen
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


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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


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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 
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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

Jun 27, 2020
Debesh Jha, Michael A. Riegler, Dag Johansen, PÃ¥l Halvorsen, HÃ¥vard D. Johansen


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An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

May 08, 2020
Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, HÃ¥vard D. Johansen, Dag Johansen, PÃ¥l Halvorsen, Michael A. Riegler

* 30 pages, 12 figures, 8 tables, Accepted for ACM Transactions on Computing for Healthcare 
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Kvasir-SEG: A Segmented Polyp Dataset

Nov 16, 2019
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, PÃ¥l Halvorsen, Thomas de Lange, Dag Johansen, HÃ¥vard D. Johansen

* 12 pages, 4 figures, 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING 
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ResUNet++: An Advanced Architecture for Medical Image Segmentation

Nov 16, 2019
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, Havard D. Johansen

* 7 pages, 3 figures, 21st IEEE International Symposium on Multimedia 
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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

Oct 31, 2018
Vajira Thambawita, Debesh Jha, Michael Riegler, PÃ¥l Halvorsen, Hugo Lewi Hammer, HÃ¥vard D. Johansen, Dag Johansen

* MediaEval 2018 
 * 2 pages + 1 page for references, 1 figure, Conference paper 
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