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LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification

Jan 06, 2021
Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen


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DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

Dec 30, 2020
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen


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

Nov 15, 2020
Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen


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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, Pål Halvorsen, Håvard 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, Håvard D. Johansen, Dag Johansen, Pål 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, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen

* 12 pages, 4 figures, 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING 

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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, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen

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

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