no code implementations • 8 Nov 2021 • 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, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
Breast cancer is the most common malignancy in women, being responsible for more than half a million deaths every year.
no code implementations • 24 Aug 2020 • Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
The bag level class prediction is derived from the multiple instances through application of a permutation invariant pooling operator on instance predictions or embeddings.
no code implementations • 20 May 2019 • Jacob Gildenblat, Eldad Klaiman
Using features extracted from networks pretrained on ImageNet is a common practice in applications of deep learning for digital pathology.
no code implementations • 15 Oct 2018 • Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology.
no code implementations • 17 May 2018 • Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
A key challenge in cancer immunotherapy biomarker research is quantification of pattern changes in microscopic whole slide images of tumor biopsies.