[HTML][HTML] Magnetic resonance imaging based radiomic models of prostate cancer: A narrative review
Simple Summary The increasing interest in implementing artificial intelligence in radiomic
models has occurred alongside advancement in the tools used for computer-aided …
models has occurred alongside advancement in the tools used for computer-aided …
[HTML][HTML] Using tears as a non-invasive source for early detection of breast cancer
A Daily, P Ravishankar, S Harms, VS Klimberg - PloS one, 2022 - journals.plos.org
The changing expression levels of ocular proteins in response to systemic disease has been
well established in literature. In this study, we examined the ocular proteome to identify …
well established in literature. In this study, we examined the ocular proteome to identify …
[PDF][PDF] Supporting argument strength by integrating semantic multimedia feature detection with emerging argument extraction
A Duttenhöfer, S Wagenpfeil… - Proceedings …, 2021 - argstrength2021 …
In this paper, we present a hybrid and interdisciplinary approach for the calculation of
argument strength, based on the coupling of two existing frameworks-the emerging …
argument strength, based on the coupling of two existing frameworks-the emerging …
Machine Learning in Healthcare: Breast Cancer and Diabetes Cases
A Cheddad - … Visual Interfaces. Supporting Artificial Intelligence and …, 2021 - Springer
This paper provides insights into a workflow of different applications of machine learning
coupled with image analysis in the healthcare sector which we have undertaken. As case …
coupled with image analysis in the healthcare sector which we have undertaken. As case …
The Future of Swedish e-Science: SeRC 2.0
Since 2010, the Swedish e-Science Research Centre (SeRC) is funding and coordinating e-
Science activities in a broad spectrum of scientific disciplines. After an initial 5-year phase …
Science activities in a broad spectrum of scientific disciplines. After an initial 5-year phase …