Intellesis Segmentation - Image Import Section

Image Import Section Intellesis Segmentation

Here you can load and select the images you want to use for training. When you click on a loaded image, the image will be visible in the Image Area.

Parameter	Description
Import from Archive	Opens a dialog to browse the archive to select the image for import. The image is copied to the location defined under Maintenance > General Options > Intellesis.
Import Images	Opens a file browser to select the image for import from a location on your hard drive.
Image list	Displays the list of imported images. If you load a new image only the preview image, file name and type of image are displayed. As soon as you have started to label an image of a larger data set, a list of the images that contain labels is displayed, containing dimension and image number (e.g. for a z-stack, Z:400 indicates that the slice number 400 contains labels). If you click on this information, the corresponding image is automatically displayed in the center screen area. This is very helpful when you are working with large data sets such as z-stacks, scenes or time-series and you want to quickly load the image you have already labeled.

Parameter

Description

Import from Archive

Opens a dialog to browse the archive to select the image for import. The image is copied to the location defined under Maintenance > General Options > Intellesis.

Import Images

Opens a file browser to select the image for import from a location on your hard drive.

Image list

Displays the list of imported images. If you load a new image only the preview image, file name and type of image are displayed. As soon as you have started to label an image of a larger data set, a list of the images that contain labels is displayed, containing dimension and image number (e.g. for a z-stack, Z:400 indicates that the slice number 400 contains labels).

If you click on this information, the corresponding image is automatically displayed in the center screen area. This is very helpful when you are working with large data sets such as z-stacks, scenes or time-series and you want to quickly load the image you have already labeled.