30 research outputs found
QuPath:Open source software for digital pathology image analysis
Get PDFAbstract QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research
Ki-67 “hot spot” digital analysis is useful in the distinction of hepatic adenomas and well-differentiated hepatocellular carcinomas
No full textProliferation assessment in breast carcinomas using digital image analysis based on virtual Ki67/cytokeratin double staining
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Accuracy of Grading in Pancreatic Neuroendocrine Neoplasms and Effect on Survival Estimates: An Institutional Experience
No full textEvaluation of RANO response criteria compared to clinician evaluation in WHO grade III anaplastic astrocytoma: implications for clinical trial reporting and patterns of failure
No full textTechnical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fixed paraffin-embedded breast tumor specimens
No full textPostoperative extracranial metastasis from glioblastoma: a case report and review of the literature
No full textA simulation study on estimating biomarker–treatment interaction effects in randomized trials with prognostic variables
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