Anders Sildnes
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View article: Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline Open
In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline within QuPath, demonstrating the potential of easily accessible tools to perform complex tasks in a fully automatic fashion. First, we trained …
View article: Open-source framework for detecting bias and overfitting for large pathology images
Open-source framework for detecting bias and overfitting for large pathology images Open
Even foundational models that are trained on datasets with billions of data samples may develop shortcuts that lead to overfitting and bias. Shortcuts are non-relevant patterns in data, such as the background color or color intensity. So, …
View article: A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images Open
Developing clinically useful cell-level analysis tools in digital pathology remains challenging due to limitations in dataset granularity, inconsistent annotations, high computational demands, and difficulties integrating new technologies …
View article: Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images Open
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for molecular subtyping, IHC can be subjective, and gene profil…
View article: Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer Open
Addressing the critical need for accurate prognostic biomarkers in cancer treatment, quantifying tumor-infiltrating lymphocytes (TILs) in non-small cell lung cancer (NSCLC) presents considerable challenges. Manual TIL quantification in who…
View article: Automated Coding of Historical Danish Cause of Death Data Using String Similarity
Automated Coding of Historical Danish Cause of Death Data Using String Similarity Open
The study of causes of death has been central to some of the most influential studies of the modern mortality decline in the nineteenth and twentieth centuries. The digitization of individual-level cause of-death data has been game-changin…