Lungs segmentation is a vital step for computer aided diagnosis. Many lungs diseases requiring radiological support for diagnostic purpose, including tuberculosis, emphysema and lungs cancer could be affectively diagnosed using computer-aid. Pulmonary nodules usually act as the early stage characterization of lung cancer. It’s a crucial way to control the disease and reduce the mortality by fur...

High predictive performance and ease of use and interpretability are important requirements for the applicability of a computer-aided diagnosis (CAD) to human reading studies. We propose a CAD system specifically designed to be more comprehensible to the radiologist reviewing screening breast MRI studies. Multiparametric imaging features are combined to produce a CAD system for differentiating ...

Lesion detection in Computed Tomography (CT) images is a challenging task the field of computer-aided diagnosis. An important issue to locate area lesion accurately. As branch Convolutional Neural Networks (CNNs), 3D Context-Enhanced (3DCE) frameworks are designed detect lesions on CT scans. The False Positives (FPs) detected 3DCE usually caused by inaccurate region proposals, which slow down i...

Introduction Breast cancer is the second cause of mortality among women. Early detection of it can enhance the chance of survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis can help physicians make a more accurate diagnosis. Materials and Methods Regarding the importance of separating normal and abnorm...

Melanoma is a type of skin cancer and is caused by the uncontrolled growth of atypical melanocytes. In recent decades, computer aided diagnosis is used to support medical professionals; however, there is still no globally accepted tool. In this context, similar to state-of-the-art we propose a system that receives a dermatoscopy image and provides a diagnostic if the lesion is benign or maligna...

Automatic Computer Aided Diagnosis of Breast Cancer in Dynamic Contrast Enhanced Magnetic Resonance Images Hongbo Wu Master of Science Graduate Department of Medical Biophysics University of Toronto 2016 Automated Computer Aided Diagnosis (CADx) systems have the potential to improve the diagnostic accuracy of radiologists. Most CADx algorithms use features generated from outlined regions to dif...