In this project, we deploy the Bayesian Convolution Neural Networks (BCNN), proposed by Gal and Ghahramani [2015] to classify microscopic images of blood samples (lymphocyte cells). The data contains 260 microscopic images of cancerous and non-cancerous lymphocyte cells. We experiment with different network structures to obtain the model that re…
cancer-imaging-research
bayesian
convolutional-neural-networks
bayesian-inference
variational-inference
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Updated
Oct 20, 2019 - R