Despite the advancements, several challenges persist in histological image segmentation:
Variability: Histological images can vary greatly in terms of staining, magnification, and tissue type, making it difficult to develop a one-size-fits-all solution. Complexity: The intricate structure of tissues and overlapping cells can complicate segmentation. Artifact Presence: Artifacts introduced during sample preparation and imaging can interfere with accurate segmentation. Computational Cost: High-resolution images require significant computational resources for processing, particularly when using deep learning methods.
