What are the Applications of Image Recognition in Histology?
Image recognition has several applications in histology:
Cancer Detection: Automated systems can identify cancerous cells in tissue samples with high accuracy, aiding in early diagnosis and treatment planning. Quantitative Analysis: It enables the precise quantification of cells, nuclei, and other structures, facilitating research and clinical studies. Digital Pathology: Enhances the workflow of pathologists by providing digital tools for image analysis, reducing the time required for manual evaluation. Educational Tools: Provides interactive platforms for teaching histology, allowing students to understand tissue morphology better.
