277 citations · 290 across the 14 of their papers we have counts for
4 papers · 1 filter
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
Adam Shephard, Mostafa Jahanifar, Ruoyu Wang +6
The quantification of tumor-infiltrating lymphocytes (TILs) has been shown to be an independent predictor for prognosis of breast cancer patients. Typically, pathologists give an e…
Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer
Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza +5
The accurate diagnosis and molecular profiling of colorectal cancers are critical for planning the best treatment options for patients. Microsatellite instability (MSI) or mismatch…
Deep Feature based Cross-slide Registration
Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz +2
Cross-slide image analysis provides additional information by analysing the expression of different biomarkers as compared to a single slide analysis. These biomarker stained slide…
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza +1
Diagnostic, prognostic and therapeutic decision-making of cancer in pathology clinics can now be carried out based on analysis of multi-gigapixel tissue images, also known as whole…