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CellGenNet: A Knowledge-Distilled Framework for Robust Cell Segmentation in Cancer Tissues

arXiv — cs.CV•Thursday, November 20, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
  • CellGenNet introduces a knowledge
  • This development is significant as it leverages a student
  • The advancement aligns with ongoing efforts in the field of histopathology to utilize AI for more accurate and efficient analysis, reflecting a broader trend towards integrating deep learning techniques in medical imaging.
— via World Pulse Now AI Editorial System
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PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
arXiv — cs.CV2 days ago
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.
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via arXiv — cs.CV

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