MorpHista: morphology-based histological image segmentation and tissue analysis software

MorpHista is an application for morphology-based histological image segmentation and tissue analysis. It automates the detection and quantification of interstitial cells of Cajal (ICC) in histopathological images using state-of-the-art deep neural network techniques and classical image processing methods.
MorpHist was developed as part of a research project focused on improving the accuracy and reproducibility of histological analysis. By integrating a AI model for cell detection with advanced tissue segmentation methods, MorpHist facilitates:
Automated Detection: Efficient identification of ICC cells in whole slide images.
Tissue Segmentation: Generation of high-quality tissue masks.
Batch Processing: Capability to process single images or entire folders, enabling high-throughput analysis.
Detailed Reporting: Annotated output images and comprehensive statistical summaries for each processed image.

The methodologies implemented in MorpHist are detailed in the accompanying research paper.