Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma

In digital pathology, deep learning has been shown to have a wide range of applications, from cancer grading to segmenting structures like glomeruli. One of the main hurdles for digital pathology to be truly effective is the size of the dataset needed for generalization to address the spectrum of po...

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Detalles Bibliográficos
Autores principales: Folmsbee, Jonathan, Zhang, Lei, Lu, Xulei, Rahman, Jawaria, Gentry, John, Conn, Brendan, Vered, Marilena, Roy, Paromita, Gupta, Ruta, Lin, Diana, Samankan, Shabnam, Dhorajiva, Pooja, Peter, Anu, Wang, Minhua, Israel, Anna, Brandwein-Weber, Margaret, Doyle, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577135/
https://www.ncbi.nlm.nih.gov/pubmed/36268093
http://dx.doi.org/10.1016/j.jpi.2022.100146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577135/
https://www.ncbi.nlm.nih.gov/pubmed/36268093
http://dx.doi.org/10.1016/j.jpi.2022.100146

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