DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Taxonomy: IM/TH- image segmentation: Ultrasound
BReP-SNAP-M-132 | Robustness of Doppler Ultrasound Measurements: Impact of Acquisition Parameters On Peak Velocity N Lafata*, M Russ, S Robertson, E Samei, Duke University Health System, Durham, NC |
MO-CD-TRACK 1-5 | RmU-Net: A Generalizable Deep Learning Approach for Automatic Prostate Segmentation in 3D Ultrasound Images N Orlando1,2*, D Gillies1,2, I Gyackov2, C Romagnoli3,5, D D'Souza4,5, A Fenster1-4, (1) Department of Medical Biophysics, Western University, London, ON, CA, (2) Robarts Research Institute, Western University, London, ON, CA, (3) Department of Medical Imaging, Western University, London, ON, CA, (4) Department of Oncology, Western University, London, ON, CA, (5) London Health Sciences Centre, London, ON, CA |
PO-GeP-I-5 | A Deep Learning Approach On Cirrhosis Diagnosis Utilizing Ultrasound B-Mode Images of Segmented Liver Left Lobes Using Liver Biopsy as the Gold Standard P Drazinos1, I Gatos2, S Tsantis2, 3, P Zoumpoulis1, I Theotokas1, D Mihailidis4, G Kagadis2*, (1) Diagnostic Echotomography S.A.,Athens, GR, (2) University of Patras, Rion, GR, (3) University of West Attica, Athens, GR, (4) University of Pennsylvania, Philadelphia, PA, USA |
PO-GeP-M-97 | Classification of TI-RADS Class-4 Thyroid Nodules Based On Shape and Texture Features From Ultrasound Images Q Meng, T Liu, W Lu, L Shi, J Qiu, W Lu*, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN |
PO-GeP-M-327 | Phantom with Randomly Distributed Anechoic Spheres for Assessing Lesion Detectability and Scan Setup of Ultrasound Transducers Z Li1*, C Baiu2, J Chen3, J Zagzebski4, (1) Northwestern Memorial Hospital, Chicago, IL, (2) Sun Nuclear Corp, Middleton, WI, (3) Northwestern Univ, Chicago, IL, (4) University of Wisconsin, Madison, WI |
PO-GeP-M-374 | Segmentation Accuracy and Radiomics Feature Stability of Multiple U-Net Based Automatic Segmentations On Ultrasound Images for Patients with Ovarian Cancer X Jin1*, J Jin2, C Xie3, (1) Wenzhou Medical University First Hospital, Wenzhou, ,CN, (2) ,,,(3) ,Wenzhou, ,CN |
PO-GeP-M-437 | Young-S Modulus Reconstruction From Ultrasound Breast Images C Rabin*, N Benech, Facultad de Ciencias - Universidad de la Republica Montevideo UY |
PO-GeP-T-370 | Effect of X-Ray Irradiation On the Ultrasound Imaging Signal of a Novel Photoacoustic Contrast Agent F Forghani1*, A Mahl1, G Shakya2, M Borden2, T Patton1, Y Vinogradskiy1, B Jones1, M Miften1, D Thomas1, (1) University of Colorado Anschutz Medical Campus, Aurora, CO, (2) University of Colorado Boulder, Department of Mechanical Engineering, Boulder, CO. |
SU-B-TRACK 2-1 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Parameters for In-Vivo Quantitative Ultrasound Evaluation of Subresolution Scattering Sources in Carotid Atherosclerotic Plaque C Steffel*, S Salamat, S Wilbrand, R Dempsey, C Mitchell, T Varghese, University of Wisconsin-Madison, Madison, WI |
SU-B-TRACK 2-3 | Validation of Handheld Mechanical 3D Ultrasound for Bedside Monitoring of Cartilage Degradation and Synovium Inflammation in Knee Osteoarthritis and Rheumatoid Arthritis S Papernick*1,2, R Dima2, D Gillies1,2, T Appleton2,3, A Fenster1,2, (1) Robarts Research Institute, London, ON, CA, (2) Western University Canada, London, ON, CA, (3) Schulich School of Medicine and Dentistry, London, ON, CA |
SU-E-TRACK 3-6 | Tracking Performance of 4D Ultrasound Systems with Real-Time Streaming Interfaces - A Robotic Phantom Study S Ipsen*, S Boettger, H Schwegmann, F Ernst, University of Luebeck, Luebeck, Germany |
TU-EF-TRACK 1-0 | Quantitative Ultrasound Imaging: From Benchtop to a Clinical Protocol T Hall1*, J Fowlkes2*, M Averkiou3*, J Mamou4*, I Rosado-Mendez5*, (1) University of WI-Madison/ADCL, Madison, WI, (2) University Michigan Health Systems, Ann Arbor, MI, (3) University of Washington, Seattle, WA, (4) Riverside Research Institute, New York, NY, (5) Universidad Nacional Autonoma de Mexico, Mexico, MX |