Projects funded by the NCN
Machine learning analysis of radiological images in selected clinical problems.
2020/36/T/NZ5/00515
Keywords:
machine learning radiology deep learning segmentation classification healthcare informatics
Descriptors:
- NZ5_5: Diagnostics in human diseases
- NZ4_10: Neuroimaging and computational neuroscience
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
NZ5 - Human and animal noninfectious diseases: etiology, mechanisms, diagnosis and treatment of diseases, poisonings and injuries (without neurological diseases)
Host institution :
Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu
woj.
Principal investigator (from the host institution):
Number of co-investigators in the project: 1
Call: ETIUDA 8 - announced on 2019-12-16
Amount awarded: 117 568 PLN
Project start date (Y-m-d): 2020-10-01
Project end date (Y-m-d): 2021-09-30
Project duration:: 12 months (the same as in the proposal)
Project status: Project settled
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (1)
- Deep Learning-Based Segmentation and Volume Calculation of Pediatric Lymphoma on Contrast-Enhanced Computed TomographiesAuthors:Michał Klimont, Agnieszka Oronowicz-Jaśkowiak, Mateusz Flieger, Jacek Rzeszutek, Robert Juszkat, Katarzyna Jończyk-PotocznaAcademic press:Journal of Personalized Medicine (rok: 2023, tom: 13(2), strony: 184), Wydawca: MDPIStatus:PublishedDOI:10.3390%2Fjpm13020184 - link to the publication