7 days ago · A deep CNN model was used by Haq et al. to suggest a deep learning-based diagnostic technique for the categorization of brain tumors, namely meningiomas, ...

Jun 9, 2024 · This paper gives an overview of the literature in the area of deep convolutional neural network-based medical image segmentation. The article looks at a number ...

Jun 18, 2024 · Our objective revolves around harnessing the capabilities of the YOLOv5 model to investigate its potential in accurately and efficiently detecting brain tumors ...

24 hours ago · We introduce a novel strategy that leverages the EfficientDet model for the precise localization and classification of brain tumors from MRI images.

Jun 25, 2024 · Image registration is essential for medical image applications where alignment of voxels across multiple images is needed for qualitative or quantitative ...

Jun 24, 2024 · Embedded event based object detection with spiking neural network, Jonathan Courtois et.al. 2406.17617, null. 2024-06-27, Towards Open-set Camera 3D Object ...

7 days ago · The ANW network simulates WTA behavior in biological neurons; that is, the winner neuron itself becomes excited and sends its own spike signal. Furthermore, the ...

3 days ago · PDF | Deformable brain templates are an important tool in many neuroimaging analyses. Conditional templates have advantages over single population.

Jun 24, 2024 · Coupled with the advent of task-optimized artificial neural network models that yield accurate accounts of individual brain areas5, we now have the ...