29
0
0
Like?
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
Browse Other Projects on Experiment
Related Projects
Developing a low-cost, rapid diagnostic for urogenital Schistosomiasis infection
We are developing a frugal diagnostic for urogenital schistosomiasis, a neglected tropical disease that...
Can we grow a supply of red blood cells by differentiating stem cells to replace donor blood?
Stem cells have progressed into a common treatment for various diseases including cancers, immune disorders...
What is the role of copper and zinc dyshomeostasis in Alzheimer's disease pathology?
Alzheimer's Disease, the 6th leading cause of US deaths, is characterized by amyloid-beta(Aβ) plaques and...