Oncology | Pathology Prediction of immunochemotherapy response for diffuse large B-cell lymphoma using artificial intelligence digital pathology. April 8, 2024
Pathology | Urology A deep-learning workflow to predict upper tract urothelial carcinoma protein-based subtypes from H&E slides supporting the prioritization of patients for molecular testing. March 20, 2024
Medical Imaging | Oncology | Pathology Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features. October 12, 2023
Oncology | Pathology Development of multiple AI pipelines that predict neoadjuvant chemotherapy response of breast cancer using H&E-stained tissues. March 10, 2023
Oncology | Pathology Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: achieving state-of-the-art predictive performance with fewer data using Swin Transformer. February 1, 2023
Digital Pathology | Genetics | Pathology Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering. November 14, 2022
Oncology | Pathology Spatial analysis of tumor-infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma. April 29, 2022
Pathology Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining. October 30, 2021
Oncology | Pathology Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer. June 27, 2020