Cargando…
Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods
Accurate evaluation of tumor response to treatment is critical to allow personalized treatment regimens according to the predicted response and to support clinical trials investigating new therapeutic agents by providing them with an accurate response indicator. Recent advances in medical imaging, c...
Autores principales: | Mazaheri, Yousef, Thakur, Sunitha B., Bitencourt, Almir GV, Lo Gullo, Roberto, Hötker, Andreas M., Bates, David D B, Akin, Oguz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459949/ https://www.ncbi.nlm.nih.gov/pubmed/36105425 http://dx.doi.org/10.1259/bjro.20210072 |
Ejemplares similares
-
MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer
por: Bitencourt, Almir G.V., et al.
Publicado: (2020) -
Diffusion-weighted MRI and histogram analysis: assessment of response to neoadjuvant chemotherapy in nephroblastoma
por: Hötker, Andreas M., et al.
Publicado: (2021) -
Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning
por: Laino, Maria Elena, et al.
Publicado: (2020) -
Elevated glycine detected on in vivo magnetic resonance spectroscopy in a breast cancer patient: case report and literature review
por: Bitencourt, Almir G.V., et al.
Publicado: (2020) -
Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers
por: Lo Gullo, Roberto, et al.
Publicado: (2020)