4 citations · 8 across the 7 of their papers we have counts for
7 papers
Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensor
Ozdemir Can Kara, Charles Everson, Farshid Alambeigi
In this paper, with the goal of quantifying the qualitative image outputs of a Vision-based Tactile Sensor (VTS), we present the design, fabrication, and characterization of a nove…
Design and Development of a Novel Soft and Inflatable Tactile Sensing Balloon for Early Diagnosis of Colorectal Cancer Polyps
Ozdemir Can Kara, Han Soul Kim, Jiaqi Xue +4
In this paper, with the goal of addressing the high early-detection miss rate of colorectal cancer (CRC) polyps during a colonoscopy procedure, we propose the design and fabricatio…
A Smart Handheld Edge Device for On-Site Diagnosis and Classification of Texture and Stiffness of Excised Colorectal Cancer Polyps
Ozdemir Can Kara, Jiaqi Xue, Nethra Venkatayogi +5
This paper proposes a smart handheld textural sensing medical device with complementary Machine Learning (ML) algorithms to enable on-site Colorectal Cancer (CRC) polyp diagnosis a…
Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks
Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi +6
In this study, toward addressing the over-confident outputs of existing artificial intelligence-based colorectal cancer (CRC) polyp classification techniques, we propose a confiden…
Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks
Nethra Venkatayogi, Qin Hu, Ozdemir Can Kara +3
In this study, with the goal of reducing the early detection miss rate of colorectal cancer (CRC) polyps, we propose utilizing a novel hyper-sensitive vision-based tactile sensor c…
Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing
Nethra Venkatayogi, Ozdemir Can Kara, Jeff Bonyun +2
In this study, to address the current high earlydetection miss rate of colorectal cancer (CRC) polyps, we explore the potentials of utilizing transfer learning and machine learning…
HySenSe: A Hyper-Sensitive and High-Fidelity Vision-Based Tactile Sensor
Ozdemir Can Kara, Naruhiko Ikoma, Farshid Alambeigi
In this paper, to address the sensitivity and durability trade-off of Vision-based Tactile Sensor (VTSs), we introduce a hyper-sensitive and high-fidelity VTS called HySenSe. We de…