Multi Tissue Nucleus Segmentation

Multi-tissue Nucleus Segmentation is an advanced image processing technique that focuses on accurately segmenting cell nuclei from multi-tissue pathology slides. This technology achieves high-precision identification and extraction of cell nuclei in different tissue types through deep learning algorithms, aiming to enhance the automation level and diagnostic accuracy of pathological analysis. Its application value lies in accelerating large-scale data processing of pathology images, supporting precision medicine and biological research, and improving disease detection and treatment outcomes.