• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Combination of hand-crafted and unsupervised learned features for ischemic stroke lesion detection from Magnetic Resonance Images
Publication date: Available online 14 February 2019Source: Biocybernetics and Biomedical EngineeringAuthor(s): G.B. Praveen, Anita Agrawal, Ponraj Sundaram, Sanjay SardesaiAbstractDetection of ischemic stroke lesions plays a vital role in the assessment of stroke treatments such as thrombolytic therapy and embolectomy. Manual detection and quantification of stroke lesions is a time-consuming and cumbersome process. In this paper, we present a novel automatic method to detect acute ischemic stroke lesions from Magnetic Resonance Image (MRI) volumes using textural and unsupervised learned features. The proposed method profic...
Source: Biocybernetics and Biomedical Engineering - February 15, 2019 Category: Biomedical Engineering Source Type: research

Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible
Here, we present two different brain diagnostic devices based on microwave technology and the associated two first proof-of-principle measurements that show that the systems can differentiate hemorrhagic from ischemic stroke in acute stroke patients, as well as differentiate hemorrhagic patients from healthy volunteers. The system was based on microwave scattering measurements with an antenna system worn on the head. Measurement data were analyzed with a machine-learning algorithm that is based on training using data from patients with a known condition. Computer tomography images were used as reference. The detection meth...
Source: IEEE Transactions on Biomedical Engineering - October 17, 2014 Category: Biomedical Engineering Source Type: research