Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Biomedical imaging Is an important source of information in cancer research. Characterizations of cancer morphology at onset, progression, and in response to treatment provide complementary information to that gleaned from genomics and clinical data. Accurate extraction and classification of both vi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kurc, Tahsin, Bakas, Spyridon, Ren, Xuhua, Bagari, Aditya, Momeni, Alexandre, Huang, Yue, Zhang, Lichi, Kumar, Ashish, Thibault, Marc, Qi, Qi, Wang, Qian, Kori, Avinash, Gevaert, Olivier, Zhang, Yunlong, Shen, Dinggang, Khened, Mahendra, Ding, Xinghao, Krishnamurthi, Ganapathy, Kalpathy-Cramer, Jayashree, Davis, James, Zhao, Tianhao, Gupta, Rajarsi, Saltz, Joel, Farahani, Keyvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046596/
https://www.ncbi.nlm.nih.gov/pubmed/32153349
http://dx.doi.org/10.3389/fnins.2020.00027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046596/
https://www.ncbi.nlm.nih.gov/pubmed/32153349
http://dx.doi.org/10.3389/fnins.2020.00027

Ejemplares similares