Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Autoencoders

Objective and Impact Statement. We adopt a deep learning model for bone osteolysis prediction on computed tomography (CT) images of murine breast cancer bone metastases. Given the bone CT scans at previous time steps, the model incorporates the bone-cancer interactions learned from the sequential im...

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Detalles Bibliográficos
Autores principales: Xiong, Wei, Yeung, Neil, Wang, Shubo, Liao, Haofu, Wang, Liyun, Luo, Jiebo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521666/
https://www.ncbi.nlm.nih.gov/pubmed/37850158
http://dx.doi.org/10.34133/2022/9763284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521666/
https://www.ncbi.nlm.nih.gov/pubmed/37850158
http://dx.doi.org/10.34133/2022/9763284

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