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A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. (arXiv:2209.13167v1 [eess.IV])
Sept. 28, 2022, 1:15 a.m. | Puria Azadi Moghadam, Sanne van Delen, Karina C. Martin, Jochen Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati
cs.CV updates on arXiv.org arxiv.org
Visual microscopic study of diseased tissue by pathologists has been the
cornerstone for cancer diagnosis and prognostication for more than a century.
Recently, deep learning methods have made significant advances in the analysis
and classification of tissue images. However, there has been limited work on
the utility of such models in generating histopathology images. These synthetic
images have several applications in pathology including utilities in education,
proficiency testing, privacy, and data sharing. Recently, diffusion
probabilistic models were introduced to generate …
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