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Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.
Arora, Urvashi; Sengupta, Debarka; Kumar, Manisha; Tirupathi, Kommineni; Sai, Munagala Krishna; Hareesh, Amuru; Sai Chaithanya, Elapanti Sri; Nikhila, Vishnumolakala; Bhavana, Nellore; Vigneshwar, Palani; Rani, Anjali; Yadav, Reena.
Affiliation
  • Arora U; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Sengupta D; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Kumar M; Department of Obstetrics and Gynecology, Lady Hardinge Medical College, New Delhi, 110001, India. Electronic address: dr.manishakumarlhmc@gmail.com.
  • Tirupathi K; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Sai MK; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Hareesh A; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Sai Chaithanya ES; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Nikhila V; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Bhavana N; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Vigneshwar P; Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Rani A; Lady Hardinge Medical College, New Delhi, 110001, India.
  • Yadav R; Department of Obstetrics and Gynecology, Lady Hardinge Medical College, New Delhi, 110001, India.
Placenta ; 140: 109-116, 2023 09 07.
Article in En | MEDLINE | ID: mdl-37572594
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Placenta / Machine Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Placenta Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Placenta / Machine Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Placenta Year: 2023 Document type: Article Affiliation country: Country of publication: