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Naruhiko Ikoma

3 accepted papers

2024

Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging

Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi
IROS 2024poster

In this paper, to collectively address the existing limitations on endoscopic diagnosis of Advanced Gastric Cancer (AGC) Tumors, for the first time, we propose (i) utilization and evaluation of our recently developed Vision-based Tactile Sensor (VTS), and (ii) a complementary Machine Learning (ML) a…

Cited by 2Source ↗Scholar ↗
2023

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, Tarunraj G. Mohanraj, Yuki Hirata, Naruhiko Ikoma +2
IROS 2023poster

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 and pathology of excised tumors. The proposed unique handheld edge device benefits from a unique tactile sensing module a…

Cited by 6Source ↗Scholar ↗
2023

Design and Development of a Novel Soft and Inflatable Tactile Sensing Balloon for Early Diagnosis of Colorectal Cancer Polyps

Ozdemir Can Kara, Hansoul Kim, Jiaqi Xue, Tarunraj G. Mohanraj, Yuki Hirata, Naruhiko Ikoma +1
IROS 2023poster

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 fabrication of a unique inflatable vision-based tactile sensing balloon (VTSB). The proposed soft VTSB can readily be integrated w…

Cited by 7Source ↗Scholar ↗