Saini, M., Larson, N. B., Fatemi, M., & Alizad, A. Deep learning based motion correction in ultrasound microvessel imaging approach improves thyroid nodule classification. Nature Portfolio.
Chicago Style (17th ed.) CitationSaini, Manali, Nicholas B. Larson, Mostafa Fatemi, and Azra Alizad. Deep Learning Based Motion Correction in Ultrasound Microvessel Imaging Approach Improves Thyroid Nodule Classification. Nature Portfolio.
MLA (9th ed.) CitationSaini, Manali, et al. Deep Learning Based Motion Correction in Ultrasound Microvessel Imaging Approach Improves Thyroid Nodule Classification. Nature Portfolio.
Warning: These citations may not always be 100% accurate.