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Oral epithelial cell segmentation from fluorescent multichannel cytology images using deep learning.
Sunny, Sumsum P; Khan, Asif Iqbal; Rangarajan, Madhavan; Hariharan, Aditi; N, Praveen Birur; Pandya, Hardik J; Shah, Nameeta; Kuriakose, Moni A; Suresh, Amritha.
Afiliación
  • Sunny SP; Department of Head and Neck Surgical Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India; Manipal Academy of Higher Education, Manipal, Karnataka, India.
  • Khan AI; Department of Computer Science, Jamia Millia Islamia University, Delhi, India.
  • Rangarajan M; Department of Electronic Systems Engineering, Division of EECS, Indian Institute of Science, Bangalore, India.
  • Hariharan A; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
  • N PB; Department of oral medicine and radiology, KLE Society's Institute of Dental Sciences, Bangalore, India.
  • Pandya HJ; Department of Electronic Systems Engineering, Division of EECS, Indian Institute of Science, Bangalore, India.
  • Shah N; Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
  • Kuriakose MA; Department of Head and Neck Surgical Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
  • Suresh A; Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India; Manipal Academy of Higher Education, Manipal, Karnataka, India. Electronic address: amritha.suresh@ms-mf.org.
Comput Methods Programs Biomed ; 227: 107205, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36384061
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: India
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: India