Cargando…
DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks
The extreme complexity of mammalian brains requires a comprehensive deconstruction of neuroanatomical structures. Scientists normally use a brain stereotactic atlas to determine the locations of neurons and neuronal circuits. However, different brain images are normally not naturally aligned even wh...
Autores principales: | Ni, Hong, Feng, Zhao, Guan, Yue, Jia, Xueyan, Chen, Wu, Jiang, Tao, Zhong, Qiuyuan, Yuan, Jing, Ren, Miao, Li, Xiangning, Gong, Hui, Luo, Qingming, Li, Anan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004526/ https://www.ncbi.nlm.nih.gov/pubmed/32754778 http://dx.doi.org/10.1007/s12021-020-09483-7 |
Ejemplares similares
-
Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging
por: Li, Anan, et al.
Publicado: (2019) -
CDO & MAPI programming with Visual Basic
por: Grundgeiger, Dave
Publicado: (2000) -
The Mesoscopic Connectome of the Cholinergic Pontomesencephalic Tegmentum
por: Zhao, Peilin, et al.
Publicado: (2022) -
MAPI: towards the integrated exploitation of bioinformatics Web Services
por: Ramirez, Sergio, et al.
Publicado: (2011) -
MAPI: a software framework for distributed biomedical applications
por: Karlsson, Johan, et al.
Publicado: (2013)