On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions
Abstract Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could invol...
Saved in:
| Main Authors: | Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-83375-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated Detection of Schizophrenia Based on Retinal Measures and Neurological Soft Signs: Applications of Interpretable Classification Methods and the Choquet Integral Aggregation Function
by: Pawel Krukow, et al.
Published: (2025-01-01) -
Human Behavior Analysis Using Radar Data: A Survey
by: Patrycja Miazek, et al.
Published: (2024-01-01) -
Optical coherence tomography and optical coherence tomography — angiography used in endocrine ophthalmopathy
by: N. A. Gavrilova, et al.
Published: (2023-03-01) -
Optical Coherence Tomography and Optical Coherence Tomography Angiography in Monitoring Coats’ Disease
by: Wojciech Hautz, et al.
Published: (2017-01-01) -
Application of optical coherence tomography in neurodegenerative diseases: a focus on Parkinson’s, Alzheimer’s, and Schizophrenia in Bulgarian patients
by: Alina Y. Levi, et al.
Published: (2024-12-01)