Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models for bladder cancer treatment response assessment based on transfer learning by freezing different DL-CNN layers and varying the DL-CNN structure. Pre- and posttreatment computed tomography scans of 12...

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Detalles Bibliográficos
Autores principales: Wu, Eric, Hadjiiski, Lubomir M., Samala, Ravi K., Chan, Heang-Ping, Cha, Kenny H., Richter, Caleb, Cohan, Richard H., Caoili, Elaine M., Paramagul, Chintana, Alva, Ajjai, Weizer, Alon Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403041/
https://www.ncbi.nlm.nih.gov/pubmed/30854458
http://dx.doi.org/10.18383/j.tom.2018.00036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403041/
https://www.ncbi.nlm.nih.gov/pubmed/30854458
http://dx.doi.org/10.18383/j.tom.2018.00036

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