Aug 31, 2021 · We present HoVer-Net+, a deep learning framework to simultaneously segment (and classify) nuclei and (intra-)epithelial layers in H&E stained slides from OED ...
In this work, we suggest that the segmentation of both the individual nuclei and the three layers of the epithelium are important steps in any downstream ...
We present HoVer-Net+, a deep learning framework to simultaneously segment (and classify) nuclei and (intra-)epithelial layers in H&E stained slides from OED ...
HoVer-Net+, a deep learning framework to simultaneously segment (and classify) nuclei and (intra-)epithelial layers in H&E stained slides from OED cases, ...
We present HoVer-Net+, a deep learning framework to simultaneously segment (and classify) nuclei and (intra-)epithelial layers in H&E stained slides from OED ...
Oral epithelial dysplasia (OED) is a pre-malignant histopathological diagnosis given to lesions of the oral cavity. Predicting OED grade or whether a case ...
Lesions in the oral mucosa showing dysplasia are statistically more likely to progress into OSCC compared to non-dysplastic lesions.
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Jun 28, 2024 · HoVer-Net+ is an encoder-decoder-based CNN that simultaneously segments and classifies nuclear instances, and semantically segments the ...
Sep 27, 2023 · Simultaneous nuclear instance and layer segmentation in oral epithelial dysplasia. In Proceedings of the IEEE/CVF International Conference ...
HoVerNet+ takes an RGB input image, and provides the option to simultaneously segment and classify the nuclei present, as well as semantically segment different ...