Difference between revisions of "Cerebellum CNN"
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{{iacl-pub| author=S. Han, A. Carass, Y. He, and J.L. Prince| title=Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization| jrnl=ni| number=218:116819| when=2020| doi=10.1016/j.neuroimage.2020.116819}} | {{iacl-pub| author=S. Han, A. Carass, Y. He, and J.L. Prince| title=Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization| jrnl=ni| number=218:116819| when=2020| doi=10.1016/j.neuroimage.2020.116819}} | ||
| − | + | ||
| − | If you have any questions, please email Shuo Han at <code>shan50 | + | {|align="center" style="width:75%; border:2px #e99095 solid; background:#ffffff; text-align:left;" |
| + | |- | ||
| + | | colspan="2" align="center" | '''ACAPULCO''' | ||
| + | |- | ||
| + | | {{iacl|~shuo/data/acapulco-adult.tar.gz|Docker image for Adult Data}} | ||
| + | | 1.3GB | ||
| + | |- | ||
| + | | {{iacl|~shuo/data/acapulco-pediatric.tar.gz|Docker image for Pediatric Data}} | ||
| + | | 1.2GB | ||
| + | |- | ||
| + | |} | ||
| + | |||
| + | |||
| + | If you use it please cite the above paper. If you have any questions, please email Shuo Han at <code>shan50 _AT_ jhu.edu</code>. | ||
| + | |||
{{h3|Instructions}} | {{h3|Instructions}} | ||
The instructions are at [https://gitlab.com/shuohan/keras-unet-cerebellum/-/blob/master/README.md instructions]. | The instructions are at [https://gitlab.com/shuohan/keras-unet-cerebellum/-/blob/master/README.md instructions]. | ||
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{{h3|Cerebellum labels}} | {{h3|Cerebellum labels}} | ||
Revision as of 03:19, 19 January 2021
<meta name="title" content="ACAPULCO: Cerebellum Parcellation with Convolutional Neural Networks"/>
Cerebellum Parcellation with Convolutional Neural Networks
Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization (ACAPULCO) is our current cerebellum parcellation method. The associated publication is:
- S. Han, A. Carass, Y. He, and J.L. Prince, "Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization", NeuroImage, 218:116819, 2020. (doi)
| ACAPULCO | |
| Docker image for Adult Data | 1.3GB |
| Docker image for Pediatric Data | 1.2GB |
If you use it please cite the above paper. If you have any questions, please email Shuo Han at shan50 _AT_ jhu.edu.
Instructions
The instructions are at instructions.
Cerebellum labels
"12": "Corpus_Medullare", "33": "Left_Lobules_I-III", "36": "Right_Lobules_I-III", "43": "Left_Lobule_IV", "46": "Right_Lobule_IV", "53": "Left_Lobule_V", "56": "Right_Lobule_V", "63": "Left_Lobule_VI", "60": "Vermis_VI", "66": "Right_Lobule_VI", "73": "Left_Lobule_VIIAf", "76": "Right_Lobule_VIIAf", "74": "Left_Lobule_VIIAt", "70": "Vermis_VII", "77": "Right_Lobule_VIIAt", "75": "Left_Lobule_VIIB", "78": "Right_Lobule_VIIB", "83": "Left_Lobule_VIIIA", "80": "Vermis_VIII", "86": "Right_Lobule_VIIIA", "84": "Left_Lobule_VIIIB", "87": "Right_Lobule_VIIIB", "93": "Left_Lobule_IX", "90": "Vermis_IX", "96": "Right_Lobule_IX", "103": "Left_Lobule_X", "100": "Vermis_X", "106": "Right_Lobule_X"
