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Frontiers6d
Deep brain stimulation programming for intractable obsessive–compulsive disorder using a long pulse width
Deep Brain Stimulation ... implantation within the targeted brain area. After implantation, there was no difference in the positions of the left and right leads. Figure 1. DBS lead placement. Images ...
IEEE9d
Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images
One of the most harmful diseases is brain tumor, which results in a very short life expectancy of the affected patient. Detection of brain tumor is a challenging task in the early stages. Still, with ...
Medical Xpress24d
Tiny brain region found to drive motor learning in reaching movements
Tiny brain region found to drive motor learning in reaching movements by University of Osaka edited by Sadie Harley , reviewed by Robert Egan ...
IEEE25d
Comparative Analysis of Deep Learning Models for Validating Use Case Diagrams
This study adopts a comparative approach to analyze the performance of three major models in object detection ... use case diagrams. These three models were trained using an open repository dataset, ...
Frontiers29d
Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm
Brain tumor classification is one of the most difficult tasks for clinical diagnosis and treatment in medical image analysis. Any errors that occur throughout the brain tumor diagnosis process may ...
C&EN29d
Robust Odor Detection in Electronic Nose Using Transfer-Learning Powered Scentformer Model
National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...