Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.

Journal: Placenta
PMID: 37572594

Abstract

INTRODUCTION: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), second(T2) and third(T3) trimesters of pregnancy using machine learning( ML).

Authors

  • Urvashi Arora
    Indraprastha Institute of Technology Delhi, New Delhi, India.
  • Debarka Sengupta
    Indraprastha Institute of Technology Delhi, New Delhi, India.
  • Manisha Kumar
    Department of Obstetrics and Gynecology, Lady Hardinge Medical College, New Delhi, India.
  • Kommineni Tirupathi
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Munagala Krishna Sai
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Amuru Hareesh
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Elapanti Sri Sai Chaithanya
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Vishnumolakala Nikhila
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Nellore Bhavana
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Palani Vigneshwar
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Anjali Rani
    Lady Hardinge Medical College, New Delhi, 110001, India.
  • Reena Yadav
    Department of Obstetrics and Gynecology, Lady Hardinge Medical College, New Delhi, India.

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