Ida Arvidsson
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- 2023
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Mark
Classification of point-of-care ultrasound in breast imaging using deep learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
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Mark
Machine learning algorithm for classification of breast ultrasound images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
2021)(
- Thesis › Doctoral thesis (monograph)
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Mark
An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
(
- Contribution to journal › Article
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Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
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
Domain-adversarial neural network for improved generalization performance of gleason grade classification
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
-
Mark
Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
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
- 2019
-
Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Comparison of different augmentation techniques for improved generalization performance for gleason grading
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Generalization of prostate cancer classification for multiple sites using deep learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding