#Diagnostic tools for digital pathology
#Quality control in digital pathology
#Algorithms for federated learning
#Clinical validation studies for digital pathology tools
September 29, 2023Segmentation tool for colorectal specimens / Validation study
Our new paper to development and extensive clinical validation of the AI tool for segmentation / processing of colorectal specimens was published in Modern Pathology. Our algorithm allows for precise, fully quantitative analysis of different tissue classes in colorectal specimens.
We validate the algorithm on one particular clinical, diagnostic task of the colorectal biopsy pre-screening for invasive carcinoma using large multi-institutional case cohort scanned by three different scanning systems.
July 27, 2023Validation study / Prostate cancer detection and grading tool
Our new paper to one of the largest validation studies for AI tools in digital pathology published to date (for prostate cancer detection and Gleason grading) was accepted in the NPJ Precision Oncology.
Five pathology institutes and 11 pathologists from all over the world participated in this study.
We also release valuable material (slides of prostate biopsies from two departments with grading ground truth by 11 pathologists) as a public dataset.
March 10, 2023Oesophageal cancer tumor detection and regression grading tool
Our new paper about tumor detection and regression grading in oesophageal adenocarcinoma was published in the Lancet Digital Health journal.
We show how computational tool can substantially improve tumor detection and histological regression grading in resection specimens from patients with oesophageal adenocarcinoma and neoadjuvant radiochemotherapy.
February 4, 2023SemiCOL Challenge for colorectal cancer
We organise SemiCOL computational Challenge together with European Society of Digital and Integrative Pathology (ESDIP) and a large number of partners from clinical and technical departments.
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