Pathological image feature analysis method based on artificial intelligence and system thereof

Abstract

The invention provides a pathological image feature analysis method based on artificial intelligence and a system thereof, which is intended to address the problems of low efficiency and reliance on practitioner experience in traditional pathology diagnosis. The system adopts a layered architecture, wherein the data layer acquires and manages multi-format pathological images and case data; the preprocessing layer performs noise removal, stain normalization, and region segmentation to achieve image standardization; the feature extraction layer integrates traditional handcrafted features with automatically extracted deep learning features; the model analysis layer performs accurate identification and computation through classification and quantitative models; and the application layer provides visualization reports and interactive functions. The solution significantly improves diagnostic accuracy and efficiency, provides standardized data support for scientific research, facilitates the distribution of high-quality medical resources, ensures data security and regulatory compliance, and is applicable to diversified scenarios such as clinical practice and research, thereby contributing to the intelligent and standardized development of pathological diagnosis.