TSHVNet: Simultaneous Nuclear Instance Segmentation and Classification in Histopathological Images Based on Multiattention Mechanisms

Accurate nuclear instance segmentation and classification in histopathologic images are the foundation of cancer diagnosis and prognosis. Several challenges are restricting the development of accurate simultaneous nuclear instance segmentation and classification. Firstly, the visual appearances of d...

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Detalles Bibliográficos
Autores principales: Chen, Yuli, Jia, Yuhang, Zhang, Xinxin, Bai, Jiayang, Li, Xue, Ma, Miao, Sun, Zengguo, Pei, Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708332/
https://www.ncbi.nlm.nih.gov/pubmed/36457339
http://dx.doi.org/10.1155/2022/7921922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708332/
https://www.ncbi.nlm.nih.gov/pubmed/36457339
http://dx.doi.org/10.1155/2022/7921922

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