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Scientists in India and Japan, including from Kyoto University's Institute for Integrated Cell-Material Sciences (iCeMS), developed this method to allow clinicians to choose the best treatment plan for their patients depending on the grade of their brain tumour. The usual diagnosis method for gliomas is through MRI scans, which reconstruct a 3D imagine of scanned tissue and give valuable data about the tumour’s shape and texture. Artificial intelligence algorithms have been helping extract this data for a long time. Medical oncologists have been using this approach, called radiomics, to improve patient diagnoses, however, there is still room for improvement in accuracy. That’s why iCeMS bioengineer Ganesh Pandian Namasivayam teamed up with data scientist Balasubramanian Raman to develop a machine learning approach that can classify gliomas into low or high grade with a massive 97.54% accuracy rate. This is an important development for patients with brain tumours because the choice of treatment for gliomas largely depends on glioma’s grading. The team used a dataset from 210 MRI scans of people with high-grade gliomas and another 75 with low-grade gliomas. They developed a machine learning approach called CGHF, which stands for: a computational decision support system for glioma classification using hybrid radionics and stationary wavelet-based features. The algorithm they chose to extract information about the brain tumours from the MRI scans accurately processed the data and classified the gliomas. They then tested their model on the rest of the MRI scans to assess its accuracy of 97.54%. "Our method outperformed other state-of-the-art approaches for predicting glioma grades from brain MRI scans," says Balasubramanian. "This is quite considerable." "We hope AI helps develop a semi-automatic or automatic machine predictive software model that can help doctors, radiologists, and other medical practitioners tailor the best approaches for their individual patients," adds Ganesh. कोरोना भाइरस के हो ? कोरोना भाइरस एक किसिमको साधारन भाइरस हो जसले स्तनधारी प्राणिहरुको स्वास प्रस्वास प्रणालिमा असर गर्दछ । यो कोरोना भाइरस मानिसहरुमा पनि देखिन सक्छ । कोरोना भाइरसले रुघाखोकि, निमोनिया, severe acute […] The skull is made out of two arrangements of bones cranial and facial. Cranial bones are 8 in number, facial bones are 14. Thus, the skull is made of all-out 22 bones. The cranial bones […] PathshalaNepal.com is a Registered Company of E. Pathshala Pvt Ltd Nepal. Registration number : 289280 All right Reversed. Pathshala Pvt Ltd We have detected that you are using extensions to block ads. Please support us by disabling these ads blocker.
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भक्तपुर, फागुन १९ गते । सामान्यतया नेपाल सरकार जिन्दावाद भनेको नारा कमै सुनिन्छ तर आज भक्तपुरको खरीपाटीमा भने यस्तै नारा लाग्यो । नेपाल सरकार मात्र होइन नेपाली सेना जिन्दावाद भन्ने नारा निकै बेर घन्कियो । चीनबाट उद्धार गरी नेपाल ल्याएर १६ दिन क्वारेन्टाइमा बसेका नेपालीहरूले सरकार र नेपाली सेनाबाट भएको कामको खुला मनले प्रशंसा गरे । उनीहरूले स्थानीयले कुरा नबुझेर भक्तपुरको खरिपाटीमा क्वारेन्टाइन केन्द्र राख्न नदिने भन्दै विरोध भएको कुरालाई मिडियाले बास्तबिकता बुझाएर सहयोग गरेकोमा मिडियाको पनि पनि प्रशंसा गरे । औपचारिक विदाइ समारोहमा बोल्दै क्वारेन्टाइमा बिताएका डा.गौरब पोखरेलले सरकारबाट भएको उद्धार प्रयासको प्रशंसा गर्नु भएको थियो । राजधानीमा बसोबास गरेकाहरुलाई घर घरमा पु¥याउन चारवटा बसको व्यबस्था गरिएको थियो । पछिल्लो २४ घन्टामा दुई सय १३ जना कोरोना संक्रमित थपिएका छन् । स्वास्थ्य तथ जनसंख्या मन्त्रालयले गरेका पत्रकार सम्मेलनमा २१३ जना संक्रमित थपिएको जानकारी दिइएको हो । त्यसैगरी निकाे भएर चार सय ६७ जना डिस्चार्ज भएकाे मन्त्रालयका […] The skull is made out of two arrangements of bones cranial and facial. Cranial bones are 8 in number, facial bones are 14. Thus, the skull is made of all-out 22 bones. The cranial bones […] PathshalaNepal.com is a Registered Company of E. Pathshala Pvt Ltd Nepal. Registration number : 289280 All right Reversed.E. Pathshala Pvt Ltd We have detected that you are using extensions to block ads. Please support us by disabling these ads blocker.