Cargando…
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer
Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical assessment of proliferation rate in breast cancer screening and grading. The Ki-67 signature is always sensitive to radiotherapy and chemotherapy. Due to random morphological, color and intensity variat...
Autores principales: | Saha, Monjoy, Chakraborty, Chandan, Arun, Indu, Ahmed, Rosina, Chatterjee, Sanjoy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468356/ https://www.ncbi.nlm.nih.gov/pubmed/28607456 http://dx.doi.org/10.1038/s41598-017-03405-5 |
Ejemplares similares
-
Diagnostic and Prognostic Value Of Ki67 Proliferation Fraction in Serous Effusions
por: Schönherr, Alexandra, et al.
Publicado: (2004) -
Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images
por: Liu, Yiqing, et al.
Publicado: (2020) -
Application of p16/Ki-67 dual-staining cytology in cervical cancers
por: Yu, Li, et al.
Publicado: (2019) -
The Role of p16/Ki67 Dual Staining in Cervical Cancer Screening
por: Dovnik, Andraž, et al.
Publicado: (2023) -
Automated assessment of Ki‐67 proliferation index in neuroendocrine tumors by deep learning
por: Vesterinen, Tiina, et al.
Publicado: (2021)