Computed Tomography is widely used for non-invasive diagnosis of the human brain. Together with stereotactic frames, CT images allow for high precision in brain lesion resection operations. In view of the numerous images produced by the CT machine and with increasing cases that require follow-up operations, computer assisted neurosurgery becomes a useful aid for neurosurgeons.Master of Engineerin
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomo...
Stroke is the second-leading cause of death globally; therefore, it needs immediate treatment to pre...
Tumor cells in cerebral glioma invade the surrounding tissues preferentially along white-matter trac...
Brain Tumor identification and evaluation requires Computed Tomography (CT) scan and image processin...
Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magn...
The first goal in neurosurgery is to protect neural function as long as it is possible. Moreover, wh...
A stereotaxic frame worn during computed tomographic (CT) scanning of the head produces landmarks in...
<p><b>Each column shows the result of the proposed method for a brain image with different lesion lo...
An efficient procedure for specifically defining the tumor boundary present in an input MRI picture ...
An efficient procedure for specifically defining the tumor boundary present in an input MRI picture ...
Rationale and Objectives—Manual segmentation of brain tumors from magnetic resonance (MR) images is ...
MRI Brain image segmentation is a valuable tool in the diagnosis and treatment of many different typ...
AbstractStereotaxic localization of target points identified on single CT scan slices obtained using...
My thesis is about segmentation of medical images in particular, computed tomography. I discussed ...
Stroke is the second-leading cause of death globally; therefore, it needs immediate treatment to pre...
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomo...
Stroke is the second-leading cause of death globally; therefore, it needs immediate treatment to pre...
Tumor cells in cerebral glioma invade the surrounding tissues preferentially along white-matter trac...
Brain Tumor identification and evaluation requires Computed Tomography (CT) scan and image processin...
Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magn...
The first goal in neurosurgery is to protect neural function as long as it is possible. Moreover, wh...
A stereotaxic frame worn during computed tomographic (CT) scanning of the head produces landmarks in...
<p><b>Each column shows the result of the proposed method for a brain image with different lesion lo...
An efficient procedure for specifically defining the tumor boundary present in an input MRI picture ...
An efficient procedure for specifically defining the tumor boundary present in an input MRI picture ...
Rationale and Objectives—Manual segmentation of brain tumors from magnetic resonance (MR) images is ...
MRI Brain image segmentation is a valuable tool in the diagnosis and treatment of many different typ...
AbstractStereotaxic localization of target points identified on single CT scan slices obtained using...
My thesis is about segmentation of medical images in particular, computed tomography. I discussed ...
Stroke is the second-leading cause of death globally; therefore, it needs immediate treatment to pre...
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomo...
Stroke is the second-leading cause of death globally; therefore, it needs immediate treatment to pre...
Tumor cells in cerebral glioma invade the surrounding tissues preferentially along white-matter trac...