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View article: Application of artificial intelligence and digital tools in cancer pathology
Application of artificial intelligence and digital tools in cancer pathology Open
Artificial intelligence (AI) is on the verge of reshaping cancer diagnostics through integration into digital pathology workflows. Despite the progression of AI towards real-world deployment, challenges in interpretability, validation, and…
View article: Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study
Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study Open
German Federal Ministry of Health, Max-Eder-Programme of German Cancer Aid, German Federal Ministry of Education and Research, German Academic Exchange Service, and the EU.
View article: Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound
Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound Open
Introduction: Assessing the malignancy of focal liver lesions (FLLs) is an important yet challenging aspect of routine patient care. Contrast-enhanced ultrasound (CEUS) has proved to be a highly reliable tool but is very dependent on the e…
View article: A deep learning framework for efficient pathology image analysis
A deep learning framework for efficient pathology image analysis Open
Artificial intelligence (AI) has transformed digital pathology by enabling biomarker prediction from high-resolution whole slide images (WSIs). However, current methods are computationally inefficient, processing thousands of redundant til…
View article: Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study
Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study Open
Background Deep Learning (DL) has emerged as a powerful tool to predict genetic biomarkers directly from digitized Hematoxylin and Eosin (H&E) slides in colorectal cancer (CRC). However, few studies have systematically investigated the pre…
View article: Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology Open
In the spectrum of colorectal tumors, microsatellite-stable (MSS) tumors with DNA polymerase ε ( POLE ) mutations exhibit a hypermutated profile, holding the potential to respond to immunotherapy similarly to their microsatellite-instable …
View article: Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study Open
Background Homologous Recombination Deficiency (HRD) is a pan-cancer predictive biomarker that identifies patients who benefit from therapy with PARP inhibitors (PARPi). However, testing for HRD is highly complex. Here, we investigated whe…
View article: Influence of surface topography on junction strength of modular hip endoprostheses
Influence of surface topography on junction strength of modular hip endoprostheses Open
The improved adaption of a modular hip endoprosthesis to patient-specific anatomy by means of a neck adapter is accompanied by the risk of a higher revision rate. This is due to micromotions leading to friction wear and corrosion of the ad…