5. The Potential of Medical Image Analysis Technology in the Field of Cancer Treatment
Author:
Affiliation:
1. Division of Medical AI Research and Development, National Cancer Center Research Institute
Publisher
Japanese Society of Radiological Technology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjrt/78/1/78_780110/_pdf
Reference10 articles.
1. 1) Baumann M, Krause M, Overgaard J, et al. Radiation oncology in the era of precision medicine. Nat Rev Cancer 2016; 16(4): 234–249.
2. 2) Lambin P, van Stiphout RGPM, Starmans MHW, et al. Predicting outcomes in radiation oncology-multifactorial decision support systems. Nat Rev Clin Oncol 2013; 10(1): 27–40.
3. 3) Kobayashi K, Murakami N, Wakita A, et al. Dosimetric variations due to interfraction organ deformation in cervical cancer brachytherapy. Radiother Oncol 2015; 117(3): 555–558.
4. 4) Kobayashi K, Murakami N, Takahashi K, et al. Tensor regression-based model to investigate heterogeneous spatial radiosensitivity after I-125 seed implantation for prostate cancer. In Vivo 2021; 35(1): 489–497.
5. 5) Steggerda MJ, Witteveen T, van den Boom F, et al. Is there a relation between the radiation dose to the different sub-segments of the lower urinary tract and urinary morbidity after brachytherapy of the prostate with I-125 seeds? Radiother Oncol 2013; 109(2): 251–255.
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