41 – 50 of 590
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Axillary clearance and chemotherapy rates in ER+HER2− breast cancer : secondary analysis of the SENOMAC trial
- Contribution to journal › Article
-
Mark
“You Can’t Influence Illness, But You Can Influence Everything Else”: Women’s Diverse Experiences of Important Resilience Aspects in the Context of Breast Cancer
Velickovic, Katarina LU ; Johnsson, Per LU ; Månsson, Johanna LU and Lundberg, Tove LU
(2024)
In SAGE Open
14(4).
p.1-16
- Contribution to journal › Article
-
Mark
18 F-FDG-PET/CT in breast cancer imaging : Restaging and Implications for treatment decisions in a clinical practice setting
- Contribution to journal › Article
-
Mark
Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning
Ekholm, Andreas ; Wang, Yinxi ; Vallon-Christersson, Johan LU
; Boissin, Constance
and Rantalainen, Mattias
(2024)
In BMC Cancer
24(1).
- Contribution to journal › Article
-
Mark
Preliminary evaluation of an automated autoencoder-UNet pipeline for chemical image segmentation and compression with reference to serial ground truth pathology
Rafsanjani, Mohd Rifqi ; McBrien, Thomas ; Jirstrom, Karin LU
; Rahman, Arman
; Prehn, Jochen H.M.
; Gallagher, William
and Meade, Aidan D.
(2024)
Data Science for Photonics and Biophotonics 2024
In Proceedings of SPIE - The International Society for Optical Engineering
13011.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Regulation of estrogen receptor alpha by promoter methylation, alternative splicing and microRNA
- Thesis › Doctoral thesis (compilation)
-
Mark
Degree of food processing and breast cancer risk : a prospective study in 9 European countries
- Contribution to journal › Article
-
Mark
Entropy-based spatial heterogeneity analysis in pathological images for diagnostic applications
Suresh, Rahul ; Nguyen, Thi Nguyet Que ; Stone, Nicholas ; Jirström, Karin LU
; Rahman, Arman
; Gallagher, William
and Meade, Aidan D
(2024)
Data Science for Photonics and Biophotonics 2024
In Proceedings of SPIE - The International Society for Optical Engineering
13011.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy
Förnvik, Daniel LU
; Borgquist, Signe
LU
; Larsson, Måns
; Zackrisson, Sophia
LU
and Skarping, Ida
LU
(2024)
In European Journal of Radiology
178.
- Contribution to journal › Article
-
Mark
Deep Learning for Breast Cancer Detection in Ultrasound Imaging : Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
- Thesis › Licentiate thesis