ResUNet++: An Advanced Architecture for Medical Image Segmentation. Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, and Havard D. Johansen arxiv.org/abs/1911.07067

We recently submitted #HyperKvasir to Scientific Data, a #dataset of images and videos from the #gastrointestinal tract - the largest openly available of its kind. Today, our dataset hosted at Center for Open Science (osf.io/mh9sj/) is the most popular project on their site.

Dataset week 😀Our second new dataset on sport sensor data is ready to be used! It is part of ImageClef 2020. Dataset: osf.io/vx4bk/ Pre-print: osf.io/k2apb/ #opendatasets #sport #osf #machinelearning Department of Holistic Systems (HOST), SimulaMet Simula Research Laboratory OsloMet AI Lab ImageCLEF

All good things are three :) Toadstool-A Dataset for Training Emotional Intelligent Machines is out now! Dataset: osf.io/qrkcf/ Pre-print: osf.io/4v9mp/ #opendatasets #osf #machinelearning #supermariobros #openaigym Department of Holistic Systems (HOST), SimulaMet Simula Research Laboratory OsloMet AI Lab

Our paper entitled " Robust Medical Instrument Segmentation Challenge 2019" is now online. x.com/Deep__AI/statu…

Norway has an open access (OA) publishing agreement with Springer Nature. This means authors from participating institutions can publish OA in more than 1,850 Springer journals without paying an article processing charge (APC). Check your eligibility: springer.com/gp/open-access…

Together with the Norwegian Institute of Public Health, Simula has developed a voluntary app that can reduce the time needed to track the spread of Covid-19😷📱 Simula Research Laboratory @Folkehelseinst #COVID19 nora.ai/news-and-event…

Our paper on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification is now available via arxiv.org/abs/2005.03912 #MachineLearning #Colonoscopy #AI

Our paper entitled "DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation" has been accepted at CBMS 2020. #deeplearning #computervision #segmentation #colonoscopy

The Medico Challenge 2020 is open. We invite you to participate. multimediaeval.github.io/editions/2020/… #medicalimaging #colonoscopy #imagesegmentation #endoscopy #machinelearning #deeplearning #benchmarking #challenge #mlchallenge #100DaysOfMLCode #TensorFlow #DataScience

The registration for the "Medico automatic polyp segmentation challenge" is open. Please feel free to register to participate by filling the registration form. docs.google.com/forms/d/e/1FAI… #deeplearning #computervision #machinelearning #medicalimaging #datascience #colonoscopy

We have recently released the "kvasir-Instrument" dataset, which contains 590 images, ground truth information, and generated masks for developing a computer-aided diagnostic system for endoscopic surgery. #colonoscopy #endoscopy #MachineLearning #ArtificialInteligence

The paper describing one of our biggest datasets so far is now published: nature.com/articles/s4159… Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: researchdata.springernature.com/posts/hyperkva… #GI #MachineLearning

We have now released the test dataset for the "Medico automatic polyp segmentation challenge". For more information please have a look at the challenge page. multimediaeval.github.io/editions/2020/…

Simula har undersøkt teknologi for digital smittesporing og konkludert med at det er vanskelig å finne løsninger som er gode både på smittesporing, kunnskapsinnhenting og personvern. simula.no/sites/default/…

Our paper on Comprehensive Study on Colorectal Polyp Segmentation is recently published in the IEEE Journal of Biomedical and Health Informatics: ieeexplore.ieee.org/stamp/stamp.js… @IEEE_JBHI #deeplearning #colonoscopy #polypsegmentation #medicine #ArtificialIntelligence

Our new research paper " LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification" is recently published at PDCAT-PAAP2020. deepai.org/publication/li…

Today we kicked off the explainable AI Norway community. A lot of great people and interesting discussion lie ahead. Stay tuned 😀 #XAI #Norway #AI