qupath.imagej.*
-
"dark"
"light"
"qupath.image.background"
"qupath.image.region."
"qupath.image.request"
"qupath.image.type"
"qupath.object.classification"
"qupath.object.id"
"qupath.object.measurements."
"qupath.object.name"
qupath.lib.*
-
"Counts"
"classifiers/density_maps"
-
"classifiers/object_classifiers"
-
"classifiers/pixel_classifiers"
-
"Background"
"DAB"
"Eosin"
"Hematoxylin"
"Residual"
-
"\u00b5m"
public static final char
'\u00b5'
public static final char
'\u03c3'
-
public static final int
16
-
"colormaps"
"css"
"extensions"
"localization"
"logs"
"scripts"
-
public static final int
-1
-
public static final int
-2147483648
"\t"
-
-
public static final int
-2147483648
-
-
public static final int
-1
-
qupath.lib.images.servers.openslide.jna.OpenSlide
"openslide.background-color"
"openslide.bounds-height"
"openslide.bounds-width"
"openslide.bounds-x"
"openslide.bounds-y"
"openslide.comment"
"openslide.mpp-x"
"openslide.mpp-y"
"openslide.objective-power"
"openslide.quickhash-1"
"openslide.vendor"
-
public static final int
-2147483648
-
-
"Case ID"
"OS censored"
"Overall survival"
"Recurrence-free survival"
"RFS censored"
"Unique ID"
-
"Negative"
"1+"
"Positive"
"3+"
"2+"
-
-
"args"
"qupath.script.batchIndex"
"qupath.script.batchLast"
"qupath.script.batchSave"
"qupath.script.batchSize"
"qupath.script.file"
qupath.opencv.*
-
-
"MxNet"
"OnnxRuntime"
"OpenCV DNN"
"PyTorch"
"TensorFlow"
"TFLite"
-
qupath.process.*
-
"Train/Validation/Test type"
"None"
"Test"
"Train"
"Validation"