Ida Arvidsson

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2022
Mark Machine learning algorithm for classification of breast ultrasound images
Karlsson, Jennie ^LU ; Ramkull, Jennifer ; Arvidsson, Ida ^LU ; Heyden, Anders ^LU ; Åström, Kalle ^LU ; Overgaard, Niels Christian ^LU and Lång, Kristina ^LU (2022) SPIE Medical Imaging 2022: 12033.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2021
Mark An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
Marginean, Felicia ^LU ; Arvidsson, Ida ^LU ; Simoulis, Athanasios ^LU ; Christian Overgaard, Niels ^LU ; Åström, Kalle ^LU ; Heyden, Anders ^LU ; Bjartell, Anders ^LU and Krzyzanowska, Agnieszka ^LU (2021) In European Urology Focus 7(5). p.995-1001
- Contribution to journal › Article
Mark Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
Arvidsson, Ida ^LU (2021)
- Thesis › Doctoral thesis (monograph)
Mark Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Davidsson, Anette ; Frias Rose, Jeronimo ; Aström, Kalle ^LU ; Ochoa Figueroa, Miguel and Heyden, Anders ^LU (2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2020
Mark Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Aström, Kalle ^LU ; Heyden, Anders ^LU ; Figueroa, Miguel Ochoa ; Rose, Jeronimo Frias and Davidsson, Anette (2020) 25th International Conference on Pattern Recognition, ICPR 2020 In Proceedings - International Conference on Pattern Recognition p.4442-4449
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Domain-adversarial neural network for improved generalization performance of gleason grade classification
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Krzyzanowska, Agnieszka ^LU ; Marginean, Felicia Elena ^LU ; Simoulis, Athanasios ^LU ; Bjartell, Anders ^LU ; Aström, Kalle ^LU and Heyden, Anders ^LU (2020) Medical Imaging 2020: Digital Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11320.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2019
Mark Comparison of different augmentation techniques for improved generalization performance for gleason grading
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Astrom, Kalle ^LU and Heyden, Anders ^LU (2019) 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 p.923-927
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Tall, Kasper ; Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Åström, Karl ^LU and Heyden, Anders ^LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10956.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2018
Mark Generalization of prostate cancer classification for multiple sites using deep learning
Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Marginean, Felicia Elena ^LU ; Krzyzanowska, Agnieszka ^LU ; Bjartell, Anders ^LU ; Astrom, Kalle ^LU and Heyden, Anders ^LU (2018) 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 2018-April. p.191-194
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2017
Mark Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
Isaksson, Johan ^LU ; Arvidsson, Ida ^LU ; Åström, Kalle ^LU and Heyden, Anders ^LU (2017) 2017 International Joint Conference on Neural Networks, IJCNN 2017 2017-May. p.1252-1256
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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