May 30, 2022, 1:12 a.m. | Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi,

cs.CV updates on arXiv.org arxiv.org

The elasticity of soft tissues has been widely considered as a characteristic
property to differentiate between healthy and vicious tissues and, therefore,
motivated several elasticity imaging modalities, such as Ultrasound
Elastography, Magnetic Resonance Elastography, and Optical Coherence
Elastography. This paper proposes an alternative approach of modeling the
elasticity using Computed Tomography (CT) imaging modality for model-based
feature extraction machine learning (ML) differentiation of lesions. The model
describes a dynamic non-rigid (or elastic) deformation in differential manifold
to mimic the soft …

arxiv classification elasticity extraction feature

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (Digital Business Analyst)

@ Activate Interactive Pte Ltd | Singapore, Central Singapore, Singapore