Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning

DLUHOŠ, Petr, Daniel SCHWARZ and Tomáš KAŠPÁREK. Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning. In 4th Biennial Schizophrenia International Research Conference, Florence, Italy. 2014. ISSN 0920-9964. Available from: https://dx.doi.org/10.1016/S0920-9964(14)70882-5.

Basic information

• Original name: Image-based Automated Detection of First-episode Schizophrenia: The Importance of Spatial Resolution of Morphological Features and Ensemble Learning
• Authors: DLUHOŠ, Petr, Daniel SCHWARZ and Tomáš KAŠPÁREK.
• Edition: 4th Biennial Schizophrenia International Research Conference, Florence, Italy, 2014.

Other information

• Original language: English
• Type of outcome: Conference abstract
• Field of Study: 30000 3. Medical and Health Sciences
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 3.923
• Organization unit: Faculty of Medicine
• ISSN: 0920-9964
• Doi: http://dx.doi.org/10.1016/S0920-9964(14)70882-5
• Tags: International impact, Reviewed

Links

• NT13359, research and development project: Name: Pokročilé metody rozpoznávání MR obrazů mozku pro podporu diagnostiky neuropsychiatrických poruch

Investor: Ministry of Health of the CR

• NT13437, research and development project: Name: Mozeček, kognitivní dysfunkce a mechanismy kontroly pohybu a odhadu času u dystonie a schizofrenie.