Difference between revisions of "Template:The Technology/ko"
From Eyewire
(Created page with "* '''Serial block-face scanning electron microscopy (SBFSEM)''': Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's datase...") |
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− | * '''[[Serial block-face scanning electron microscopy (SBFSEM)]]''': Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique. | + | * '''[[Serial block-face scanning electron microscopy (SBFSEM)|Serial block-face scanning electron microscopy (SBFSEM)]]''': Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique. |
− | * '''[[인공지능]]''': The reconstruction of neurons is completed using both machine learning algorithms and human expertise. | + | * '''[[Artificial Intelligence|인공지능]]''': The reconstruction of neurons is completed using both machine learning algorithms and human expertise. |
* '''[[E2198| 아이와이어 이미지 데이타셋]]''': The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany. | * '''[[E2198| 아이와이어 이미지 데이타셋]]''': The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany. | ||
* '''[http://seunglab.org/software/ 승 연구소의 오픈 소스 소프트웨어]''': Use our open source software to develop improved methods for electron microscopy image segmentation. | * '''[http://seunglab.org/software/ 승 연구소의 오픈 소스 소프트웨어]''': Use our open source software to develop improved methods for electron microscopy image segmentation. |
Revision as of 15:44, 26 January 2016
- Serial block-face scanning electron microscopy (SBFSEM): Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique.
- 인공지능: The reconstruction of neurons is completed using both machine learning algorithms and human expertise.
- 아이와이어 이미지 데이타셋: The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany.
- 승 연구소의 오픈 소스 소프트웨어: Use our open source software to develop improved methods for electron microscopy image segmentation.