“We want to achieve something that, even at a very low false positive, like 0.1 or 0.2 false positives per image, gets a high recall,” Nhi tells us. “We’ve made progress in this part. If you look at the figure below, our blue curve is quite a bit better than the others. All the curves get close to each other as you go to three or four false positives per image, but that’s not a point you want your software to operate at. We care about the part between zero and one, highlighted in yellow, and you can see that our curve is better than our competitors. It must be around 5% higher in terms of recall at 0.5 or 0.2 false positives.” We have to ask about the origin of the model’s title: M&M. Where could the inspiration for that possibly have come from, we wonder? “Nhi came up with the title M&M, which makes me think of M&Ms, the chocolates!” Dan laughs. Whiterabbit was founded in 2017 with a unique approach to earlystage breast cancer detection through mammography image data. Unlike traditional AI companies solely focused on algorithms and data, Whiterabbit initially owned and operated nine radiology clinics. This direct engagement with the clinical aspect of breast cancer 15 DAILY MICCAI Tuesday M&M withNhi andDan
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