Work

A deep learning method for the automatic calculation of ovarian morphological features from pelvic ultrasonography

Year: 2026

Type: dataset

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22259178

Authors: Rehani, Eeshaan, Drewes, Bailey, Brendel, Matthew, Pea, Jeffrey, Evans, Adam, Carter, Faith, Malmsten, Jonas, Kar, Sujata, Chizen, Donna, Pierson, Roger, Spandorfer, Steven, Hoeger, Kathleen, Lujan, Marla, Hajirasouliha, Iman

Institutions: Cornell University, Northwestern Medicine, University of Rochester Medicine, Case Western Reserve University, Weill Cornell Medicine, University of Saskatchewan, University of Rochester

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7206202757

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