Ida Arvidsson

15 papers B 2Journal 2Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer.
npj Digit. Medicine
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
2025 — conf
Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images.
SCIA (2)
Anna Gummeson, Gabrielle Flood, Kari Nielsen, Carolina Nätterdahl, Fredrik Johansson, Åsa Ingvar, Ida Arvidsson
2024 — conf
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging.
ICPR (13)
Jennie Karlsson, Marisa Wodrich, Niels Christian Overgaard, Freja Sahlin, Kristina Lång, Anders Heyden, Ida Arvidsson
2024 J jnl
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging.
CoRR
Jennie Karlsson, Marisa Wodrich, Niels Christian Overgaard, Freja Sahlin, Kristina Lång, Anders Heyden, Ida Arvidsson
2023 — conf
Classification of point-of-care ultrasound in breast imaging using deep learning.
Computer-Aided Diagnosis
Jennie Karlsson, Ida Arvidsson, Freja Sahlin, Kalle Åström, Niels Christian Overgaard, Kristina Lång, Anders Heyden
2023 — conf
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies.
SCIA (2)
Filip Winzell, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Felicia-Elena Marginean, Anders Bjartell, Agnieszka Krzyzanowska, Athanasios Simoulis, Anders Heyden
2022 — conf
Machine learning algorithm for classification of breast ultrasound images.
Computer-Aided Diagnosis
Jennie Karlsson, Jennifer Ramkull, Ida Arvidsson, Anders Heyden, Kalle Åström, Niels Christian Overgaard, Kristina Lång
2021 — conf
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks.
Computer-Aided Diagnosis
Ida Arvidsson, Niels Christian Overgaard, Anette Davidsson, Jeronimo Frias Rose, Kalle Åström, Miguel Ochoa Figueroa, Anders Heyden
2020 — conf
Domain-adversarial neural network for improved generalization performance of Gleason grade classification.
Digital Pathology
Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden
2020 B conf
Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks.
ICPR
Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden, Miguel Ochoa Figueroa, Jeronimo Frias Rose, Anette Davidsson
2019 — conf
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN.
Digital Pathology
Kasper Tall, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden
2019 — conf
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading.
ISBI
Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden
2018 — conf
Generalization of prostate cancer classification for multiple sites using deep learning.
ISBI
Ida Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden
2017 — conf
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks.
Digital Pathology
Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström
2017 B conf
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN.
IJCNN
Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden