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 A Breast Cancer Diagnosis System using Hybrid Case-based ...
Mammography is the most common modality for breast cancer detection and diagnosis and is often complemented by ultrasound and Magnetic Resonance Imaging (MRI). However, similarities between early signs of breast cancer and normal structures in these images make detection and diagnosis of breast cancer a difficult task....
Publications Archives - QMISG
Quantification of ASL Perfusion MRI in MCI Patients Using Single-Post Labeling Delay Model-Fitting Approach. Quantification of ASL Perfusion MRI in MCI Patients Using Single-Post Labeling Delay Model-Fitting Approach Abstract Purpose: Neuroimaging techniques hold many promises to detect Alzheimer Disease (AD) at early stages before clinical symptoms fully develop, suggesting decreased regional ......
Novel Breast Imaging and Machine Learning: Predicting ...
Breast cone-beam CT (CBCT) is a novel imaging technique providing true 3D images of the breast, with spatial resolution of up to 2.6 line pairs per millimeter and high contrast resolution, thereby enabling the detection of contrast differences of less than 1% [1–4].Compared with conventional breast imaging, such as mammography, CBCT shows superior diagnostic performance in the detection and ......
A Machine Learning Approach for Identifying Gene ...
Identification of the treatment survivability gene biomarkers of breast cancer patients via a tree-based approach. in Proceedings of the International Conference on Bioinformatics and Biomedical Engineering, Cham, 166–176. 10.1007/978-3-319-78723-7_14 [Google Scholar] Tang W., Wan S., Yang Z., Teschendorff A. E., Zou Q. (2017).
Radiomics in head and neck cancer: from exploration to ...
Jansen JF, Lu Y, Gupta G, et al. Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer. World J Radiol 2016; 8:90–7. [PMC free article] [Google Scholar]
Cancer Articles, News & Research Info | Treatment & Drug ...
Latest cancer articles, treatment info, research news and more for oncologists and medical professionals. Read featured content on cancer research, treatment regimens and clinical studies ...
High-Throughput Quantification of Phenotype Heterogeneity ...
The recent improvements in MRI technology using the integration of diffusion and perfusion weighted imaging have provided deeper insights into the pathological behavior of tumors [3, 4]. Until now, radiologists have used MR imaging for relatively gross disease detection.
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
American Scientific Publishers - Journal of Medical ...
A Novel Breast Cancer Detection Technology Using an Advanced Transfer Maximal Entropy Clustering Algorithm Lifang Peng, Bin Huang, Kefu Chen, and Leyuan Zhou J. Med. Imaging Health Inf. 9, 1639–1644 (2019) [Full Text - PDF] [Purchase Article]
Open Access Books | IntechOpen
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