Cancer is a disease that affects nearly 40% of the United States population. The current diagnosis process can take several days, and requires a highly trained pathologists. Occasionally, biopsy samples do not have enough cellular material to make a proper diagnosis, and the patients must undergo a secondary procedure before a confident cancer diagnosis can be composed. This project aims to accelerate the process by using an automated microscope outfitted with image-processing artificial intelligence to complete a preliminary stage of diagnosis to determine if adequate amounts of cell clusters have been collected from the procedure. A prototype integrated with RCNN was constructed that images microscope slides and identifies cell clusters found in fine needle aspirations.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Westgate, Brian
• LaRoche, Jamison

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042618-091622

Advisor

• Lee, Kwonmoo

Year

• 2018

Date created

• 2018-04-26

Resource type

• Major Qualifying Project

Major

• Electrical & Computer Engineering

Rights statement

• In Copyright