Kevin and Isaac's abstract accepted to the 15th Annual Academic Surgical Congress

Work by Kevin Chen and Isaac Robson has been accepted to the upcoming Academic Surgical Congress. At the meeting, Kevin will be presenting some early results in trying to apply computer vision to the classification of rectal cancer surgical specimens.

Title: Computer Vision Analysis of Total Mesorectal Excision Specimens

From the abstract: Total mesorectal excision (TME) is the surgical standard of care for rectal cancer. TME specimens are graded on a validated 3-point scale which includes complete, nearly complete, and incomplete. This grading system is routinely utilized to assess the quality of surgery and incomplete excisions are associated with a higher rate of local recurrence. The goal of our study is to develop an algorithm using computer vision techniques to classify photographs of TME specimens. We report our preliminary results.