Milda Poceviciute

Publikationer

2024

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström (2024) Benefits of spatial uncertainty aggregation for segmentation in digital pathology Journal of Medical Imaging, Vol. 11 Vidare till DOI

2023

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström (2023) Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation MEDICAL IMAGING 2023, Artikel 124710W Vidare till DOI

Milda Pocevičiūtė (2023) Generalisation and reliability of deep learning for digital pathology in a clinical setting

Milda Pocevičiūtė, Gabriel Eilertsen, Stina Garvin, Claes Lundström (2023) Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part V, s. 157-167 Vidare till DOI

2022

Sofia Jarkman, Micael Karlberg, Milda Poceviciute, Anna Bodén, Peter Bandi, Geert Litjens, Claes Lundström, Darren Treanor, Jeroen van der Laak (2022) Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection Cancers, Vol. 14, Artikel 5424 Vidare till DOI