Your browser doesn't support javascript.
loading
Risk Analysis of Breast Cancer by Using Bilateral Mammographic Density Differences: A Case-Control Study.
Zhang, Zhang; Zhang, Xiaoyong; Chen, Jiaqi; Takane, Yumi; Yanagaki, Satoru; Mori, Naoko; Ichiji, Kei; Kato, Katsuaki; Yanagaki, Mika; Ebata, Akiko; Miyashita, Minoru; Ishida, Takanori; Homma, Noriyasu.
Affiliation
  • Zhang Z; Department of Intelligent Biomedical Systems Engineering Laboratory, Graduate School of Biomedical Engineering, Tohoku University.
  • Zhang X; Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University.
  • Chen J; Department of General Engineering, National Institute of Technology, Sendai College.
  • Takane Y; Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine.
  • Yanagaki S; Clinical Technology Department, Tohoku University Hospital.
  • Mori N; Department of Diagnostic Radiology, Tohoku University Hospital.
  • Ichiji K; Department of Radiology, Akita University Graduate School of Medicine.
  • Kato K; Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine.
  • Yanagaki M; Cancer Detection Center, Miyagi Cancer Society.
  • Ebata A; Department of Surgery, Tohoku University Hospital.
  • Miyashita M; Department of Surgery, Tohoku University Hospital.
  • Ishida T; Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine.
  • Homma N; Department of Surgery, Tohoku University Hospital.
Tohoku J Exp Med ; 261(2): 139-150, 2023 Oct 20.
Article in En | MEDLINE | ID: mdl-37558417
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Language: En Journal: Tohoku J Exp Med Year: 2023 Document type: Article Country of publication: Japan
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Language: En Journal: Tohoku J Exp Med Year: 2023 Document type: Article Country of publication: Japan