SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

1 code implementation • 12 Oct 2021 • Wenqi Lu, Michael Toss, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas

The network was trained and tested on slides from The Cancer Genome Atlas (TCGA) in addition to two independent test datasets.

Decision Making whole slide images

L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients

no code implementations • 23 Aug 2021 • Fayyaz Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot

Can we predict if an early stage cancer patient is at high risk of developing distant metastasis and what clinicopathological factors are associated with such a risk?

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

no code implementations • 25 Jun 2021 • Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas

The analyses reported in this work highlight best practice recommendations that can be used as annotation guidelines over the lifecycle of a CPath project.