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20222024
most citedClassification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

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

Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni +3

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…

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…

eess.IV2022★ 4 cited

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…

cs.RO2022★ 1 cited

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…