Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing-Reference-Cited by-同舟云学术

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Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Sensors
language:
Short-container-title:

Author:

Venkatayogi Nethra¹,Kara Ozdemir Can²,Bonyun Jeff²,Ikoma Naruhiko³,Alambeigi Farshid²

Affiliation:

1. University of Texas at Austin,Department of Biomedical Engineering,Austin,TX,USA

2. University of Texas at Austin,Walker Department of Mechanical Engineering,Austin,TX,USA

3. MD Anderson Cancer Center,Department of Surgical Oncology,Houston,TX,USA

Funder

University of Texas at Austin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9966996/9966997/09967308.pdf?arnumber=9967308

Reference25 articles.

1. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions

2. Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

3. Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain

4. Transfer Learning

5. DCNN for Tactile Sensory Data Classification based on Transfer Learning

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Soft and Inflatable Strain-Based Tactile Sensing Balloon for Enhanced Diagnosis of Colorectal Cancer Polyps via Colonoscopy;IEEE Sensors Journal;2024-08-15

2. Tissue palpation in endoscopy using EIT and soft actuators;Frontiers in Robotics and AI;2024-08-09

3. Enrichment, Borrowing, And Mining: A Data-Driven Approach To Colonoscopic Lesion Classification;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Advancements in Machine Learning in Sensor Systems: Insights from Sensys-ML and TinyML Communities;2024 IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML);2024-05-13

5. A Novel Dual Layer Cascade Reliability Framework for an Informed and Intuitive Clinician-AI Interaction in Diagnosis of Colorectal Cancer Polyps;IEEE Journal of Biomedical and Health Informatics;2024-04

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