Tactile Sensing System and Convolutional Neural Network for Mechanical Property Classification
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://ieeexplore.ieee.org/ielam/7782634/10242612/10234722-aam.pdf
Reference23 articles.
1. Identifying Benign and Malignant Breast Tumor Using Vibro-acoustic Tactile Imaging Sensor
2. Risk Score Based Pre-Screening of Breast Tumor Using Compression Induced Sensing System
3. Convolutional neural network improvement for breast cancer classification
4. Classification of breast masses using Tactile Imaging System and machine learning algorithms
Cited by 2 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. Differential Profile Diagram for Breast Tumor Classification Using Vibro-Acoustic Tactile System;IEEE Sensors Letters;2024-07
2. Deep Learning for Tumor Localization with Depth Estimation: A Minimally Invasive Robotics-Assisted Approach;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
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