Labeling Biopsied Lesions in DBT Movies
Published date: 22.01.2021
Read time: 1 min
Client Profile
Industry: Medical Software
Location: California, USA
Size: 50-100 employees
Company Bio
Our client is developing investigational physics based artificial intelligence and deep machine learning solutions to help radiologists get more accurate readings of breast images.
Challenge
Our team needed to annotate with bounding boxes approximately 4,000 mammograms with 2D and 3D biopsy studies that were extracted from multiple clinical sites. All mammograms were supported by radiologist notes that consisted of:
a. Which breast the lesion was found in (left or right)
b. The location of the lesion in the breast (e.g. depth, clock angle.)
c. The type of lesion (e.g. mass, calcs.)
Human Resources
Our client wanted annotators without a medical background for this task. Therefore, Mindy Support built a team of one project manager, one team lead with 5+ years of medical experience, and four data annotators experienced in medical annotation.
Solution Process
Results
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We have a minimum threshold for starting any new project, which is 735 productive man-hours a month (equivalent to 5 graphic annotators working on the task monthly).
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