Projects per year
Project Details
Description
Breast cancer is one of the most commonly occurring cancer among women, and while screening work relatively well for early detection in high-income countries, there is no corresponding solution in low- and middle-income countries. The limited access to early diagnosis and treatment leads to that the survival in breast cancer is much lower. Both competence and equipment are lacking, and it does not seem likely that the breast cancer care can be copied from high-income countries. Therefore, we suggest the development of an accessible breast diagnostic tool, consisting of a technically enhanced low-cost pocked ultrasound device paired with a smartphone-based artificial intelligence algorithm. The goal of this project is to develop such an algorithm, using existing data from Skåne University Hospital and tuning it such that it also works well when the pocket ultrasound is used.
Short title | eSSENCE@LU 8:7 |
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Status | Finished |
Effective start/end date | 2022/01/01 → 2023/12/31 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Projects
- 1 Finished
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Breast Cancer Diagnostics in Low Resource Settings Using Point of Care Ultrasound and Deep Learning
Arvidsson, I. (PI), Lång, K. (CoPI), Karlsson, J. (Researcher), Heyden, A. (Researcher), Overgaard, N. C. (Researcher) & Sahlin, F. (Researcher)
Analytic Imaging Diagnostics Arena, AIDA
2024/01/01 → 2024/12/31
Project: Research