Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46474, first published .
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development

Malin Hjärtström   1 , MEng ;   Looket Dihge   2, 3 , MD, PhD ;   Pär-Ola Bendahl   1 , PhD ;   Ida Skarping   1, 4 , MD, PhD ;   Julia Ellbrant   2, 5 , MD, PhD ;   Mattias Ohlsson   6, 7 * , PhD ;   Lisa Rydén   2, 8 * , MD, PhD

1 Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden

2 Division of Surgery, Department of Clinical Sciences, Lund University, Lund, Sweden

3 Department of Plastic and Reconstructive Surgery, Skåne University Hospital, Malmö, Sweden

4 Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Malmö, Sweden

5 Department of Surgery, Skåne University Hospital, Malmö, Sweden

6 Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden

7 Centre for Applied Intelligent Systems Research, Halmstad University, Halmstad, Sweden

8 Department of Surgery and Gastroenterology, Skåne University Hospital, Malmö, Sweden

*these authors contributed equally

Corresponding Author: