Automatic tumor segmentation in 3D automated breast ultrasound using convolutional neural network

2021 ◽  
Author(s):  
Yang Lei ◽  
Xiuxiu He ◽  
Tonghe Wang ◽  
Jincao Yao ◽  
Lijing Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Breast Ultrasound ◽  
Tumor Segmentation ◽  
Automated Breast Ultrasound

Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network

2020 ◽  
Vol 190 ◽  
pp. 105360 ◽  
Author(s):  
Woo Kyung Moon ◽  
Yao-Sian Huang ◽  
Chin-Hua Hsu ◽  
Ting-Yin Chang Chien ◽  
Jung Min Chang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Tumor Detection ◽  
Breast Ultrasound ◽  
Computer Aided ◽  
Automated Breast Ultrasound

3-D Res-CapsNet Convolutional Neural Network on Automated Breast Ultrasound Tumor Diagnosis

2021 ◽  
pp. 109608
Author(s):  
Ruey-Feng Chang ◽  
Huiling Xiang ◽  
Yao-Sian Huang ◽  
Chu-Hsuan Lee ◽  
Ting-Yin Chang Chien ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Breast Ultrasound ◽  
Tumor Diagnosis ◽  
Automated Breast Ultrasound

scholarly journals Brain Tumor Segmentation using K-Means Clustering and Detection using Convolutional Neural Network

2020 ◽  
Vol 9 (5) ◽  
pp. 1452-1455
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Brain Tumor ◽  
Convolutional Neural Network ◽  
Clustering Algorithm ◽  
Tumor Segmentation ◽  
Brain Tumor Segmentation ◽  
Mri Scans ◽  
Two Phases ◽  
Processing Techniques

This paper presents brain tumor detection and segmentation using image processing techniques. Convolutional neural networks can be applied for medical research in brain tumor analysis. The tumor in the MRI scans is segmented using the K-means clustering algorithm which is applied of every scan and the feed it to the convolutional neural network for training and testing. In our CNN we propose to use ReLU and Sigmoid activation functions to determine our end result. The training is done only using the CPU power and no GPU is used. The research is done in two phases, image processing and applying neural network.

Sign in / Sign up

Export Citation Format

Share Document