Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images

Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixel-wise annotations for such segmentation tasks in a fully-supervised training framework requires significant effort. To reduce the burden of manual annotation, we propose a novel weakly supervised seg...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yiqing, He, Qiming, Duan, Hufei, Shi, Huijuan, Han, Anjia, He, Yonghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414209/
https://www.ncbi.nlm.nih.gov/pubmed/36015814
http://dx.doi.org/10.3390/s22166053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414209/
https://www.ncbi.nlm.nih.gov/pubmed/36015814
http://dx.doi.org/10.3390/s22166053

Ejemplares similares