brain haemorrhage
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TEM Journal ◽  
2021 ◽  
pp. 1476-1487
Author(s):  
Ahmad Yahya Dawod ◽  
Aniwat Phaphuangwittayakul

It is challenging to establish a significant solution with computer techniques to improve the speed and efficiency of Traumatic Brain Injury (TBI) diagnosis. Several segmentation methods involving diverse precision and a degree of effort have been proposed and detailed within the related literature. Segmentation of Brain image is one of the significant clinical diagnostics implements. This paper proposes a modified (MDRLSE) calculation for haemorrhage segmentation on Computed Tomography (CT) images. The image noise that abdicates the obscured edges is utilized to portray the precise boundary of the haemorrhage region. The proposed segmentation technique achieved an accuracy rate of 97.16%. The technique is implemented using an edge-based involved contour model for image segmentation, providing a simple narrowband to significantly reduce computational costs. The performance results show that it is effective for TBI image segmentation in brain images with various characteristics.


TEM Journal ◽  
2021 ◽  
pp. 1476-1487
Author(s):  
Ahmad Yahya Dawod ◽  
Aniwat Phaphuangwittayakul

It is challenging to establish a significant solution with computer techniques to improve the speed and efficiency of Traumatic Brain Injury (TBI) diagnosis. Several segmentation methods involving diverse precision and a degree of effort have been proposed and detailed within the related literature. Segmentation of Brain image is one of the significant clinical diagnostics implements. This paper proposes a modified (MDRLSE) calculation for haemorrhage segmentation on Computed Tomography (CT) images. The image noise that abdicates the obscured edges is utilized to portray the precise boundary of the haemorrhage region. The proposed segmentation technique achieved an accuracy rate of 97.16%. The technique is implemented using an edge-based involved contour model for image segmentation, providing a simple narrowband to significantly reduce computational costs. The performance results show that it is effective for TBI image segmentation in brain images with various characteristics.


2021 ◽  
Vol 49 (2) ◽  
pp. 030006052098772
Author(s):  
Tian-Jiao Zhang ◽  
Zhen Shen ◽  
Min Li ◽  
Jing Zhu ◽  
Yue-Bo Li ◽  
...  

Choriocarcinoma is a highly malignant gynaecological tumour. This disease becomes life-threatening once brain haemorrhage or brain herniation occurs. Timely and accurate brain surgery can gain treatment time for patients that have a large number of cerebral haemorrhages and/or brain herniation. This current report describes a case of choriocarcinoma secondary to a hydatidiform mole in a 55-year-old woman that presented with neurological symptoms. Following admission to hospital, computed tomography examination found that lung and brain metastases were accompanied by cerebral haemorrhage. Cerebral hernia occurred during induction chemotherapy treatment and emergency surgery was performed. The patient recovered after individual chemotherapy and rehabilitation treatment. Patients with a very high risk of choriocarcinoma with brain metastasis should be referred to a comprehensive medical centre. Necessary surgical treatment and individualized chemotherapy can reduce the mortality of patients with choriocarcinoma brain metastasis.


2020 ◽  
Vol 7 (9) ◽  
pp. 257-261
Author(s):  
H C Vijayalakshmi ◽  
Huda Mirza Saifuddin ◽  
Mithun N Hegde

2020 ◽  
Vol 87 ◽  
pp. 150-151 ◽  
Author(s):  
Sajjad Muhammad ◽  
Athanasios Petridis ◽  
Jan Frederick Cornelius ◽  
Daniel Hänggi
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