Polyp Phantom
"Polyp phantom" refers to the use of artificial models, mimicking various biological tissues and structures, for research and development in medical imaging and robotics. Current research focuses on creating increasingly realistic phantoms for validating new algorithms (e.g., neural networks, deep learning models) in image reconstruction and object detection, as well as for training and testing robotic systems for minimally invasive procedures like biopsies and surgery. This work is crucial for advancing medical technologies, improving diagnostic accuracy, and ensuring the safety and efficacy of robotic interventions before clinical implementation.
Papers
Estimating the ultrasound attenuation coefficient using convolutional neural networks -- a feasibility study
Piotr Jarosik, Michal Byra, Marcin Lewandowski, Ziemowit Klimonda
A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe