X-ray microCT lizard brain data and labels. Trained network using Biomedisa with different number of training datasets.
SegmFromDLalgorithm.zip: X-ray microCT (microcomputed tomography) data of lizard heads, cropped down to brain part, and the corresponding labels of brain regions segmented by deep learning algorithm.
SegmForDLmanual.zip: X-ray microCT data of lizard heads, cropped down to brain part, and the corresponding labels of brain regions segmented semi-manually used as training dataset for deep learning.
06_recon.zip: an example of original X-ray microCT data of a lizard head before cropping.
The trained networks below can be used in Biomedisa https://biomedisa.info :
NetworkTrainedWith5data.tar.h5: trained network using 5 datasets
NetworkTrainedWith7data.tar.h5: trained network using 7 datasets
NetworkTrainedWith9data.tar.h5: trained network using 9 datasets
NetworkTrainedWith11data.tar.h5: trained network using 11 datasets
History
Associated Publication
T. Zhou, Y. Dragunova, Z. Triki. Brain virtual histology of a lizard species (Podarcis bocagei) using X-ray micro-tomography and deep-learning segmentation.Affiliation (institution of first SU-affiliated author)
- 153 Institutionen för lingvistik | Department of Linguistics
access_level
- public
access_condition
- PUBLIC
