PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
PositiveArtificial Intelligence
- The introduction of PathoGen, a diffusion-based generative model, marks a significant advancement in the synthesis of realistic lesions in histopathology images, addressing the critical shortage of expert-annotated lesion data, especially for rare pathologies. This model enhances the inpainting of lesions into benign images while preserving natural tissue boundaries and cellular structures.
- This development is crucial for improving the accuracy of histopathological diagnoses, as it allows for the generation of high-fidelity lesion data that can be used to train artificial intelligence models, ultimately aiding pathologists in their diagnostic processes.
- The emergence of PathoGen aligns with ongoing efforts in the field of histopathology to leverage artificial intelligence for better diagnostic tools, as seen in recent advancements in multimodal pathology retrieval and interactive tissue-cell modeling, which aim to enhance the efficiency and accuracy of pathology practices.
— via World Pulse Now AI Editorial System
