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Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Quality Control Procedures for Genome‐Wide Association Studies
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Automatic Image Quality Assessment for Digital Pathology
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Image analysis and machine learning in digital pathology: Challenges and opportunities
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Proteomics Quality Control: Quality Control Software for MaxQuant Results
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Digital pathology imaging as a novel platform for standardization and globalization of quantitative nephropathology
inferredcites →https://doi.org/10.1109/tmi.2019.2919722openalex-snapshot
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology
inferredcites →https://doi.org/10.1146/annurev-bioeng-112415-114722openalex-snapshot
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology
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Histologic processing artifacts and inter-pathologist variation in measurement of inked margins of canine mast cell tumors
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Stack or trash? Quality assessment of virtual slides
inferredcites →https://doi.org/10.1186/1746-1596-9-s1-s3openalex-snapshot
Towards better digital pathology workflows: programming libraries for high-speed sharpness assessment of Whole Slide Images
inferredcites →https://doi.org/10.1200/cci.18.00157openalex-snapshot
HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides
inferredcites →https://doi.org/10.2215/cjn.08370812openalex-snapshot
Digital Pathology Evaluation in the Multicenter Nephrotic Syndrome Study Network (NEPTUNE)
inferredcites →https://doi.org/10.5858/arpa.2017-0181-oaopenalex-snapshot
Reproducibility and Feasibility of Strategies for Morphologic Assessment of Renal Biopsies Using the Nephrotic Syndrome Study Network Digital Pathology Scoring System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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