3 papers
eess.IV2020
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Ali K. Z. Tehrani, Mina Amiri, Ivan M. Rosado-Mendez +2
Quantitative ultrasound (QUS) can reveal crucial information on tissue properties such as scatterer density. If the scatterer density per resolution cell is above or below 10, the…
eess.IV2020
Fine tuning U-Net for ultrasound image segmentation: which layers?
Mina Amiri, Rupert Brooks, Hassan Rivaz
Fine-tuning a network which has been trained on a large dataset is an alternative to full training in order to overcome the problem of scarce and expensive data in medical applicat…
eess.IV2020
Breast lesion segmentation in ultrasound images with limited annotated data
Bahareh Behboodi, Mina Amiri, Rupert Brooks +1
Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic. US im…