PathoSpotter-K
PathoSpotter-K detects proliferative glomerular lesions in digital histological images of kidneys to enable automated identification and analysis of these nephrological lesions.
Key Features:
- Target lesion: Detects proliferative glomerular lesions in kidney histological images.
- Input data: Operates on digital histological images of kidneys.
- Algorithms: Employs classical image processing and pattern recognition techniques.
- Performance: Achieves a reported detection accuracy of 88.3 ± 3.6%.
- Function: Provides automated identification of glomerular lesions for quantitative analysis.
Scientific Applications:
- Pathology education: Serves as a teaching aid for pathologists and pathology students to learn lesion identification.
- Clinicopathological research: Facilitates large-scale clinicopathological studies correlating morphological data with clinical outcomes.
- Nephrology research: Supports research into kidney disease by enabling systematic analysis of glomerular lesions.
Methodology:
Applies classical image processing and pattern recognition techniques to digital histological kidney images.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 7/7/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Barros GO, Navarro B, Duarte A, dos-Santos WLC. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports. 2017;7(1). doi:10.1038/srep46769. PMID:28436482. PMCID:PMC5402276.