Augmenting endometriosis analysis from ultrasound data with deep learning

Adrian Balica, Jennifer Dai, Kayla Piiwaa, Xiao Qi, Ashlee N. Green, Nancy Phillips, Susan Egan, Ilker Hacihaliloglu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertility. Therefore, there is a significant need to diagnose patients at an early stage. Our objective in this work is to investigate the potential of deep learning methods to classify endometriosis from ultrasound data. Retrospective data from 100 subjects were collected at the Rutgers Robert Wood Johnson University Hospital (New Brunswick, NJ, USA). Endometriosis was diagnosed via laparoscopy or laparotomy. We designed and trained five different deep learning methods (Xception, Inception-V4, ResNet50, DenseNet, and EfficientNetB2) for the classification of endometriosis from ultrasound data. Using 5-fold cross-validation study we achieved an average area under the receiver operator curve (AUC) of 0.85 and 0.90 respectively for the two evaluation studies.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2023
Subtitle of host publicationUltrasonic Imaging and Tomography
EditorsChristian Boehm, Nick Bottenus
ISBN (Electronic)9781510660458
StatePublished - 2023
EventMedical Imaging 2023: Ultrasonic Imaging and Tomography - San Diego, United States
Duration: Feb 22 2023Feb 23 2023

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE


ConferenceMedical Imaging 2023: Ultrasonic Imaging and Tomography
Country/TerritoryUnited States
CitySan Diego

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


  • Artificial intelligence (AI)
  • convolutional neural networks
  • deep learning
  • endometriosis


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