Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
AMY Tai, A Albuquerque, NE Carmona… - Artificial intelligence in …, 2019 - Elsevier
Introduction Machine learning capability holds promise to inform disease models, the
discovery and development of novel disease modifying therapeutics and prevention …
discovery and development of novel disease modifying therapeutics and prevention …
Two-way threshold-based intelligent water drops feature selection algorithm for accurate detection of breast cancer
Breast cancer is one of the common reasons for deaths of women over the globe. It has
been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray …
been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray …
A robust medical image retrieval system based on wavelet optimization and adaptive block truncation coding
This paper presents a proposed method for medical image retrieval in order to search in a
database for an image that is similar to a query image. The proposed Medical Image …
database for an image that is similar to a query image. The proposed Medical Image …
Detection of breast cancer through mammogram using wavelet-based LBP features and IWD feature selection technique
Breast cancer is as one of the common reasons of deaths in women. To detect this cancer in
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
[PDF][PDF] Feature selection mammogram based on breast cancer mining
LC Shofwatul'Uyun - International Journal of Electrical and Computer …, 2018 - academia.edu
The very dense breast of mammogram image makes the Radiologists often have difficulties
in interpreting the mammography objectively and accurately. One of the key success factors …
in interpreting the mammography objectively and accurately. One of the key success factors …
Automated and effective content-based mammogram retrieval using wavelet based CS-LBP feature and self-organizing map
VP Singh, R Srivastava - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
In this paper, automated, fast and effective content based-mammogram image retrieval
system is proposed. The proposed pre-processing steps include automatic labelling …
system is proposed. The proposed pre-processing steps include automatic labelling …
Content-based mammogram retrieval using wavelet based complete-LBP and K-means clustering for the diagnosis of breast cancer
VP Singh, R Srivastava - International Journal of Hybrid …, 2017 - content.iospress.com
Early diagnosis of breast cancer can improve the survival rate by detecting cancer at initial
stage. In this paper, an efficient content-based mammogram retrieval system is proposed …
stage. In this paper, an efficient content-based mammogram retrieval system is proposed …
[PDF][PDF] Effective of modern techniques on content-based medical image retrieval: a survey
The advancement in medical imaging has resulted in a rapid and large increase in medical
images inside repositories. These medical images contain very important information that …
images inside repositories. These medical images contain very important information that …
Research on sports video image based on fuzzy algorithms
WY Chang - Journal of Visual Communication and Image …, 2019 - Elsevier
With the rapid development of network and multimedia technology, a large number of sports
and national fitness information are stored in various fitness guidance systems in the form of …
and national fitness information are stored in various fitness guidance systems in the form of …
[PDF][PDF] Analysis of The impact of Measurement Matrices in Compressive Sensing for Medical Images
Compressive sensing of images is based on three key components namely sparse
representation, construction of measurement matrix and reconstruction of images. The visual …
representation, construction of measurement matrix and reconstruction of images. The visual …