Ida Arvidsson
Ida Arvidsson
PhD student, Centre for Mathematical Sciences, Lund University
Verified email at
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Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks
A Gummeson, I Arvidsson, M Ohlsson, NC Overgaard, A Krzyzanowska, ...
Medical Imaging 2017: Digital Pathology 10140, 101400S, 2017
Generalization of prostate cancer classification for multiple sites using deep learning
I Arvidsson, NC Overgaard, FE Marginean, A Krzyzanowska, A Bjartell, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
J Isaksson, I Arvidsson, K Åaström, A Heyden
2017 International Joint Conference on Neural Networks (IJCNN), 1252-1256, 2017
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading
I Arvidsson, NC Overgaard, K Åström, A Heyden
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
An Artificial Intelligence–based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
F Marginean, I Arvidsson, A Simoulis, NC Overgaard, K Åström, A Heyden, ...
European Urology Focus, 2020
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
I Arvidsson, NC Overgaard, A Davidsson, JF Rose, K Aström, ...
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 115970N, 2021
Domain-adversarial neural network for improved generalization performance of Gleason grade classification
I Arvidsson, NC Overgaard, A Krzyzanowska, FE Marginean, A Simoulis, ...
Medical Imaging 2020: Digital Pathology 11320, 1132016, 2020
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
K Tall, I Arvidsson, NC Overgaard, K Aström, A Heyden
Medical Imaging 2019: Digital Pathology 10956, 109560E, 2019
Heterogeneous Multi-Sensor Camera
I Arvidsson, J Henriksson
LRAP 513, 2016
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