What are the Challenges in Histology Image Processing?
Despite its advantages, histology image processing faces several challenges:
Variability: Biological tissues exhibit high variability, making standardization difficult. Complexity: Histological images are often complex, with overlapping structures and varying staining intensities. Data Volume: High-resolution images generate large amounts of data, requiring substantial storage and computational resources. Annotation: Creating annotated datasets for training machine learning models is time-consuming and requires expert knowledge.
