Automatic classification of tissue malignancy for breast carcinoma diagnosis. - Irene Fondón; Auxiliadora Sarmiento; Anabel Isabel García; María Silvestre; Catarina Eloy; António Polónia; Paulo Aguiar (Comput. Biol. Medicine, 2018)

BACH: Grand Challenge on Breast Cancer Histology Images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (CoRR, 2018)

Learning to detect lymphocytes in immunohistochemistry with deep learning. - Zaneta Swiderska-Chadaj; Hans Pinckaers; Mart van Rijthoven; Maschenka Balkenhol; Margarita Melnikova; Oscar Geessink; Quirine Manson; Mark Sherman 003; António Polónia; Jeremy Parry; Mustapha Abubakar; Geert Litjens 001; et al. (Medical Image Anal., 2019)

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. - Caner Mercan; Maschenka Balkenhol; Roberto Salgado; Mark Sherman 003; Philippe Vielh; Willem Vreuls; António Polónia; Hugo M. Horlings; Wilko Weichert; Jodi M. Carter; Peter Bult; Matthias Christgen; et al. (CoRR, 2020)

Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning. - David La Barbera; António Polónia; Kevin Roitero; Eduardo Conde-Sousa; Vincenzo Della Mea (J. Imaging, 2020)

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (CoRR, 2021)

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. - Eduardo Conde-Sousa; João Vale; Ming Feng; Kele Xu; Yin Wang; Vincenzo Della Mea; David La Barbera; Ehsan Montahaei; Mahdieh Soleymani Baghshah; Andreas Turzynski; Jacob Gildenblat; Eldad Klaiman; et al. (J. Imaging, 2022)