Brain tumor is an abnormal growth of cells, reproducing themselves in an uncontrolled manner. In medical image processing the data is too much for manual interpretation and analysis, thus the accurate detection of location and size plays a very important role in diagnosis of brain tumor. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT scan) are the most widely used techniques for d...

The report describes a rare case of a patient with a calcified cerebellar metastasis arising from a primary ovarian cancer. The patient was a 33-year-old woman with a long history of stage IIIc ovarian cancer who had undergone transabdominal hysterectomy and bilateral oophorectomy followed by chemotherapy with gemcitabine hydrochloride. Incidentally, computed tomography (CT) revealed a cerebell...

The cooccurrence of multiple sclerosis (MS) and oligodendroglioma is very rare. We present a 43-year-old male patient with the diagnosis of MS lasting for 14 years who developed seizures and right hemiparesis; cerebral MRI revealed an already known extensive lesion, previously misdiagnosed as tumefactive demyelinating lesion. Cerebral biopsy leads to oligodendroglioma diagnosis, successfully tr...

In healthcare sector, image classification is one of the crucial problems that impact quality output from processing domain. The purpose to categorize different images under various class labels which in turn helps detection and management diseases. Magnetic Resonance Imaging (MRI) effective non-invasive strategies generate a huge distinct number tissue contrasts every imaging modality. This te...

Recently, Internet of Medical Things (IoMT) has gained considerable attention to provide improved healthcare services patients. Since earlier diagnosis brain tumor (BT) using medical imaging becomes an essential task, automated IoMT and cloud enabled BT model can be devised recent deep learning models. With this motivation, paper introduces a novel model, named IoMTC-HDBT. The IoMTC-HDBT compri...

background: distinction between radiation necrosis and recurrence of intraparenchymal tumors is necessary to select the appropriate treatment, but it is often difficult based on imaging features alone. we developed an algorithm for analyzing magnetic resonance spectroscopy (mrs) findings and studied its accuracy in differentiation between radiation necrosis and tumor recurrence. m e t hod s :  ...

Introduction: 99mTc-MIBI has been proposed for use as an imaging agent for various tumors, including breast cancer, lung cancer, lymphomas, melanomas and brain neoplastic lesions. Brain tumors are very common and radiotherapy being major part of treatment following surgery. After radiotherapy, deteriorating clinical status can be due to either radiation necrosis or recurrent tumor. Comput...

<span lang="EN-US">Automated flaw identification has become more important in medical imaging. For patient preparation, unaided prediction of tumor (brain) detection the magnetic resonance imaging process (MRI) is critical. Traditional ways recognizing z are intended to make radiologists' jobs easier. The size and variety molecular structures brain tumors one issues with MRI diagnosis. De...