Comparative Assessment of Manual Segmentation of Cerebral Infarction Lesions in Experimental Animals Based on Magnetic Resonance Imaging Using Artificial Intelligence.
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| Title: | Comparative Assessment of Manual Segmentation of Cerebral Infarction Lesions in Experimental Animals Based on Magnetic Resonance Imaging Using Artificial Intelligence. |
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| Authors: | Gubskiy IL; Federal Center of Brain Research and Neurotechnologies, Federal Medical-Biological Agency of Russia, Moscow, Russia. gubskiy.ilya@gmail.com.; Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia. gubskiy.ilya@gmail.com., Namestnikova DD; Federal Center of Brain Research and Neurotechnologies, Federal Medical-Biological Agency of Russia, Moscow, Russia.; Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia., Cherkashova EA; Federal Center of Brain Research and Neurotechnologies, Federal Medical-Biological Agency of Russia, Moscow, Russia.; Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia., Gumin IS; Federal Center of Brain Research and Neurotechnologies, Federal Medical-Biological Agency of Russia, Moscow, Russia., Kurilo VV; Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia., Chekhonin VP; Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.; V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, Ministry of Health of the Russian Federation, Moscow, Russia., Yarygin KN; Institute of Biomedical Chemistry, Moscow, Russia.; Russian Medical Academy of Continuous Professional Education, Ministry of Health of the Russian Federation, Moscow, Russia. |
| Source: | Bulletin of experimental biology and medicine [Bull Exp Biol Med] 2025 Feb; Vol. 178 (4), pp. 514-519. Date of Electronic Publication: 2025 Mar 28. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 0372557 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-8221 (Electronic) Linking ISSN: 00074888 NLM ISO Abbreviation: Bull Exp Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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