نتایج جستجو برای: brain tumor detection
تعداد نتایج: 1405621 فیلتر نتایج به سال:
objective: human cytomegalovirus (hcmv) is a beta-herpesvirus that causes persistent infection in humans, as well as severe disease in fetuses and immunocompromised individuals. although hcmv is not currently causally implicated in human cancer, emerging evidence suggests that hcmv infection may be specifically associated with malignancies such as gliomas. gliomas are one of the most common bra...
Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...
Human cytomegalovirus (HCMV) causes persistent infection in humans and severe diseases in fetus andimmunocompromised individuals. Although HCMV is not currently implicated in human cancer, emerging evidence suggests that HCMV infection might be specifically associated with some human malignancies including glioma. Glioma is one of the most common brain tumors affecting children and adults. In t...
The Computer associated-learning is one of the most significant achievements in field medical imaging. Generally, we use different technologies like computer tomography (CT scan) to diagnose disease or injury; lungs, liver, brain, etc. For this research, have used MRI image datasets for identification Brain tumor classification and non-tumor classification. Tumors are generally abnormal growth;...
Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time consuming manual task performed by medical experts. Automating this process is a challenging task because of the high diversity in the appearance of tumor tissues among different patients and in many cases similarity with the normal tissues. MRI is an advanced medical imaging technique providing rich informat...
Modern medical imaging research faces the challenge of detecting brain tumor through Magnetic Resonance Images (MRI). Normally, to produce images of soft tissue of human body, MRI images are used by experts. For brain tumor detection, image segmentation is required, which is a challenging task faced by today’s medical neurologist. This is considered to be one of the most important step in detec...
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