Example segmentations obtained for sample 6818 of the VessMAP dataset.

<p>The original image and manual annotation are shown at the upper left corner. The remaining panels show the training set used to train a neural network and the respective segmentation obtained for the sample. The respective Dice scores are shown above each segmentation.</p>

Saved in:

Bibliographic Details
Main Author:	Matheus Viana da Silva (21433572) (author)
Other Authors:	Natália de Carvalho Santos (21433575) (author), Julie Ouellette (17041536) (author), Baptiste Lacoste (10536857) (author), Cesar H. Comin (3724186) (author)
Published:	2025
Subjects:	Cell Biology Genetics Biotechnology Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> creating poor inference quality available metadata information training sets lead neural networks trained datasets traditionally used selecting relevant samples image acquisition process good contrast leads base dataset using training samples results training samples used neural network four samples considering samples vessmap dataset usually required single image several hours segmentation algorithms possible changes new dataset might affect manual annotation large non introduce vessmap intensity variability imaged tissues image annotation highly distinct generalization capability even outlier especially true distribution shifts different conditions dice scores dice score demanding task carefully selected careful selection assorted set
Tags:	Add Tag No Tags, Be the first to tag this record!

Example segmentations obtained for sample 6818 of the VessMAP dataset.

Similar Items