Ida Arvidsson

According to our database, Ida Arvidsson authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer.

Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén, Lisa Rydén

npj Digit. Medicine, 2025

Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images.

Anna Gummeson, Gabrielle Flood, Kari Nielsen, Carolina Nätterdahl, Fredrik Johansson, Åsa Ingvar, Ida Arvidsson

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

2024

Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging.

Jennie Karlsson, Marisa Wodrich, Niels Christian Overgaard, Freja Sahlin, Kristina Lång, Anders Heyden, Ida Arvidsson

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies.

Filip Winzell, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Felicia-Elena Marginean, Anders Bjartell, Agnieszka Krzyzanowska, Athanasios Simoulis, Anders Heyden

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Classification of point-of-care ultrasound in breast imaging using deep learning.

Jennie Karlsson, Ida Arvidsson, Freja Sahlin, Kalle Åström, Niels Christian Overgaard, Kristina Lång, Anders Heyden

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Machine learning algorithm for classification of breast ultrasound images.

Jennie Karlsson, Jennifer Ramkull, Ida Arvidsson, Anders Heyden, Kalle Åström, Niels Christian Overgaard, Kristina Lång

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks.

Ida Arvidsson, Niels Christian Overgaard, Anette Davidsson, Jeronimo Frias Rose, Kalle Åström, Miguel Ochoa Figueroa, Anders Heyden

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Domain-adversarial neural network for improved generalization performance of Gleason grade classification.

Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks.

Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden, Miguel Ochoa Figueroa, Jeronimo Frias Rose, Anette Davidsson

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN.

Kasper Tall, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading.

Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Generalization of prostate cancer classification for multiple sites using deep learning.

Ida Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks.

Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN.

Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017