Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

Por Cruz-Roa, Angel, Díaz, Gloria, Romero, Eduardo, González, Fabio A.
Publicado em 2012

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

Por Wang, Haibo, Cruz-Roa, Angel, Basavanhally, Ajay, Gilmore, Hannah, Shih, Natalie, Feldman, Mike, Tomaszewski, John, Gonzalez, Fabio, Madabhushi, Anant
Publicado no J Med Imaging (Bellingham) (2014)

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Por Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Publicado no PLoS One (2018)

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

Por Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant
Publicado no Sci Rep (2017)