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Each face image was annotated with a facial-expression: happy, anger, disgust, contempt, sad, fear, surprise, and neutral.
Each scanned image was annotated manually for analysis (by HKA) to exclude areas of glass or poor sample quality.
That is, if an image was annotated as Stage 7 by our system (S = 7) and BDGP annotated it as stage range 7 8, then the annotation was considered to be correct.
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For example, if an 'early stage 7' image is annotated as Stage 7E by our system, then the annotation is considered correct Stage Accuracy (AccStage).
For example, if an 'early stage 7' image is annotated as Stage 7E or Stage 7L by our system, then the annotation is considered correct Plus-Minus-Sub-stage Accuracy (Acc±0.5).
For example, if an 'early stage 7' image is annotated as Stage 6L, Stage 7E or Stage 7L by our system, then the annotation is considered correct.
The location of stain on images was annotated with Mouse Anatomy (MA) ontology terms.
The images are annotated with descriptions given along with the data set.
Two subsequent images were annotated with scribbles of three various colors, each of them being a separate class.
In this process, the images are annotated with text and then text-based database management systems were used to perform image retrieval.
The same HE images were annotated by a pathologist highlighting tumor cell dense regions using the Path XL web-based software tool.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com