PriorPath converts coarse tissue-region sketches into fine-grained binary pathology masks using pix2pix, reporting better mask similarity and coverage than the noise-based DCGAN and DEPAS baselines on four cancer datasets.
Using deep learning to enhance cancer diagnosis and classification,
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PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation
PriorPath converts coarse tissue-region sketches into fine-grained binary pathology masks using pix2pix, reporting better mask similarity and coverage than the noise-based DCGAN and DEPAS baselines on four cancer datasets.