Enhanced breast cancer classification with automatic thresholding using SVM and Harris corner detection

M Taheri, G Hamer, SH Son, SY Shin - Proceedings of the international …, 2016 - dl.acm.org
Image classification and extracting the characteristics of a tumor are the powerful tools in
medical science. In case of breast cancer medical treatment, the breast cancer classification …

Comparative study of microwave tomography segmentation techniques based on gmm and knn in breast cancer detection

C Wang, W Wang, S Shin, SI Jeon - Proceedings of the 2014 Conference …, 2014 - dl.acm.org
Microwave Tomography Imaging (MTI) is a new technology for early breast cancer detection.
Compared to other methods such as X-ray, Magnetic Resonance Imaging (MRI) and …

Study of wireless mammography image transmission impacts on robust cyber-aided diagnosis systems

S Aminikhanghahi, S Shin, W Wang, SI Jeon… - Proceedings of the 30th …, 2015 - dl.acm.org
Wireless cyber-mammography is potentially a convenient screening method to be
comfortable and effective in community and rural area early detection of breast cancer, but …

Optimized multilayer perceptron using dynamic learning rate based microwave tomography breast cancer screening

C Pack, S Shin, HD Choi, SI Jeon, J Kim - Proceedings of the 31st …, 2016 - dl.acm.org
A performance of classification tool in a Computer Aided Diagnosis (CAD) software directly
affects capacity of entire breast cancer screening. Most developed classification tools have …

Tefnut: An accurate smartphone based rain detection system in vehicles

H Guo, H Huang, J Wang, S Tang, Z Zhao… - … , and Applications: 11th …, 2016 - Springer
Real-time and fine-grained rain information is crucial not only for climate research, weather
prediction, water resources management, agricultural production, urban planning and …

An optimized support vector machine classifier to extract abnormal features from breast microwave tomography data

S Aminikhanghahi, S Shin, W Wang, SH Son… - Proceedings of the 2014 …, 2014 - dl.acm.org
Microwave Tomography (MT) as a new electronic healthcare system tries to measure
dielectric properties of tissues inside the breast and helps early breast cancer detection. In …

Enhanced breast cancer classification with automatic thresholding using support vector machine and Harris corner detection

M Taheri - 2017 - openprairie.sdstate.edu
Image classification and extracting the characteristics of a tumor are the powerful tools in
medical science. In case of breast cancer medical treatment, the breast cancer classification …

[PDF][PDF] Classification of Breast Cancer Detection by Using Machine Learning Technique

T Khandelwal, S Gupta - academia.edu
Breast cancer causes more death in women and it also curable if it is early diagnosed.
Hence, early detection of cancer in women will be helpful in taking necessary actions. In …

Intelligent Microwaves-Based Modalities for Breast Cancer Detection

M Aldhaeebi - 2020 - uwspace.uwaterloo.ca
Breast cancer is considered to be one of the major causes of mortality in women worldwide.
Detection of breast tumors in their early stage is the key factor for possible successful …

[引用][C] Feature Extraction Untuk Klasifikasi Pengenalan Wajah Menggunakan Support Vector Machine Dan K-Nearest Neighbor

Y Religia, A Rusdi, I Romli, A Mazid - Pelita Teknologi, 2019