most citedPit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2023★ 1 cited

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…

cs.RO2023

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…

cs.CV2023

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…

cs.LG2022★ 2 cited

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…