Lesion Detection Sliders in Total Body Photography

The lesion detection sliders are an AI-powered tool designed to identify lesions in TBP images. When reviewing images in Total Body Photography, there will be two sets of lesion detection filters. These filters will differ based on whether you're reviewing a single image or comparing two images.

For a single image, the filters are:

  • Score
  • Size

For comparing images, the filters are:

  • Change
  • Size

Definitions:

  • Score - The Score represents the algorithm's confidence in identifying a lesion, based on size, color and pattern. This is not an assessment of malignancy or risk.
  • Size - This indicates the relative diameter of each lesion.
  • Change - This shows the degree of change observed in each lesion pair.


  • Web
  • iOS

Web

  1. When reviewing one image, you will note the slider options are Score and Size. You can adjust the sliders from left (most sensitive) to right (least sensitive).
  2. To compare two images, select the second image from the right column and then select 'Start Matching'.
  3. When comparing two images, the slider options are Change and Size. You can adjust the sliders from left (most sensitive) to right (least sensitive).

    Notable mentions: There is a report mismatch tool that offers you the option to advise of any poor matches, missing pairs or inaccuracies in change detection labels.

 

 

*To learn how to take dermoscopic images from the total body photography page after using the detection sliders, see here.

 

iOS

  1. When reviewing a TBP image on mobile, select the 'mapping' icon at the bottom to begin tagging or mapping moles. 
    mobile lesion detection sliders
  2. Select the icon at the top to turn on the lesion detection sliders.
    mobile lesion detection sliders2
  3. Now you can adjust the score and size of the lesions identified by the algorithms to focus your examination. 

    *To learn how to take dermoscopic images from the total body photography page, see here.
    mobile sliders detection

 

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