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A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images.
Letchumanan, Nishta; Wong, Jeannie Hsiu Ding; Tan, Li Kuo; Ab Mumin, Nazimah; Ng, Wei Lin; Chan, Wai Yee; Rahmat, Kartini.
Affiliation
  • Letchumanan N; Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.
  • Wong JHD; Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. jeannie_wong80@um.edu.my.
  • Tan LK; University of Malaya Research Imaging Centre (UMRIC), Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. jeannie_wong80@um.edu.my.
  • Ab Mumin N; Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. lktan@um.edu.my.
  • Ng WL; University of Malaya Research Imaging Centre (UMRIC), Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. lktan@um.edu.my.
  • Chan WY; Department of Radiology, Faculty of Medicine, University Teknologi MARA, Selangor, Malaysia.
  • Rahmat K; Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.
J Digit Imaging ; 36(4): 1533-1540, 2023 08.
Article in En | MEDLINE | ID: mdl-37253893
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast / Mammography Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Digit Imaging Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast / Mammography Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Digit Imaging Year: 2023 Document type: Article