Incorporating deep features in the analysis of tissue microarray images
Donghui Yan, Timothy W. Randolph, Jian Zou, Peng Gong · Statistics and Its Interface · 2019
assumption in semi-supervised learning. Using this information on TMA images of breast cancer, we have reduced the error rate of TACOMA by about 6%. Further simulations on synthetic data provide insights on when such representations would likely help. Although we focus on TMAs, learnable representations of this type are expected to be applicable in other settings.