Improving 3-D Imaging Breast Cancer Diagnosis Systems Using a New Method for Placement of Near-Infrared Sources and Detectors

Diagnosis of Breast Cancer using a Combination of Genetic Algorithm and Artificial Neural Network in Medical Infrared Thermal Imaging

Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters among the available parameters are selected and ...

Spectroscopic Reconstructed Near Infrared Tomographic Imaging for Breast Cancer Diagnosis

Breast cancer imaging: a new role of Tc-99m sestamibi prone scintimammography for diagnosisof breast cancer

Mammography remians the procedure of choice in screening asymptomatic women for breast cancer. However, in patients with symptoms, other types of imaging play an important role in the detection of malignancies. The high cost and lack of availability of PET and MRI largely precludes the use in this patient population. TI-201 is nbt the imaging agent of choice because of its wash-out and redistri...

Change of Hemoglobin Concentration with nano particles can predict breast cancer using near infrared source?

Introduction: Early detection and treatment of breast cancer may be helping to save the lives of patients. Many new techniques have been urban to detect breast cancer. One of them is the use of nano-particles for accuracy and early diagnosis after photo transfer. In this study, rod gold nano particles was used according their ability to change light source transfer intensity. ...

A New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

diagnosis of breast cancer using a combination of genetic algorithm and artificial neural network in medical infrared thermal imaging

introduction this study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. the medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. by analyzing this information, the best diagnostic parameters among the available parameters are selected and ...