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.

Documentation