Feature analysis of ultrasound elastography image for quantitative assessment of cutaneous carcinoma.

Michael A Morris Christina RingR ManaguliB SabouryD MehreganE SiegelB Dasgeb

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2017)

This feasibility study demonstrated that feature analysis of USE may be useful in quantitatively differentiating cancerous from benign primary solitary skin lesions prior to biopsy.

Keyphrases

deep learning
machine learning
ultrasound guided
magnetic resonance imaging
soft tissue
fine needle aspiration
liver fibrosis
wound healing
contrast enhanced
neural network
magnetic resonance
computed tomography