Robert Fritze

Robert Fritze

Apr 29, 2018

Group 6 Copy 38
0
    Please wait...

    About This Project

    Breast cancer is the second most common cause of cancer death among women, and requires careful histologic study for diagnosis. I am studying the feasibility of recognizing breast cancer cells in histologic specimen by means of artificial intelligence. We will train convolutional neural networks to recognize tumour cells in small snippets of large images. If positive, the region in the image corresponding to the snippet is marked. Our preliminary results are promising (see also lab notes)!

    More Lab Notes From This Project

    Blast off!

    Browse Other Projects on Experiment

    Related Projects

    How does sleep deprivation impact problematic eating?

    Research studies have linked characteristics of eating disorders (e.g., binge eating, extreme dieting) with...

    Does bias about medical diagnosis link to expectations of mental health problems for infants and their parents?

    If doctors think infants will have lower skill (e.g., less able to look and to smile at parents), does that...

    Does the Experience of Awe Predict Ketamine's Rapid Antidepressant Effect?

    Ketamine is a very rapidly-acting and safe antidepressant medication given as an intravenous infusion, during...

    Campaign Ended