Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2021 Jun;57(6):1015-1016.
doi: 10.1002/uog.23659.

Power Doppler as second-stage test in adnexal tumors that are difficult to classify: a plea to use the potential offered by new-generation tools

Affiliations
Free article
Comment

Power Doppler as second-stage test in adnexal tumors that are difficult to classify: a plea to use the potential offered by new-generation tools

D Paladini. Ultrasound Obstet Gynecol. 2021 Jun.
Free article

Erratum in

  • Erratum.
    [No authors listed] [No authors listed] Ultrasound Obstet Gynecol. 2022 Oct;60(4):591. doi: 10.1002/uog.26067. Ultrasound Obstet Gynecol. 2022. PMID: 36183351 No abstract available.
No abstract available

PubMed Disclaimer

Comment in

  • Reply.
    Valentin L, Sladkevicius P. Valentin L, et al. Ultrasound Obstet Gynecol. 2021 Jun;57(6):1016. doi: 10.1002/uog.23661. Ultrasound Obstet Gynecol. 2021. PMID: 34077606 No abstract available.

Comment on

Similar articles

References

    1. Sladkevicius P, Jokubkiene L, Timmerman D, Fischerova D, Van Holsbeke C, Franchi D, Savelli L, Epstein E, Fruscio R, Kaijser J, Czekierdowski A, Guerriero S, Pascual MA, Testa AC, Ameye L, Valentin L. Vessel morphology depicted by three-dimensional power Doppler ultrasound as second-stage test in adnexal tumors that are difficult to classify: prospective diagnostic accuracy study. Ultrasound Obstet Gynecol 2021; 57: 324-334.
    1. Rajan JP, Rajan SE, Martis RJ, Panigrahi BK. Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System. J Med Syst 2019; 44: 34.
    1. Tsakanikas VD, Siogkas PK, Mantzaris MD, Potsika VT, Kigka VI, Exarchos TP, Koncar IB, Jovanovic M, Vujcic A, Ducic S, Pelisek J, Fotiadis DI. A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. Annu Int Conf IEEE Eng Med Biol Soc 2020; 2020: 2408-2411.
    1. Casella A, Moccia S, Frontoni E, Paladini D, De Momi E, Mattos LS. Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks. Ann Biomed Eng 2020; 48: 848-859.

LinkOut - more resources