AIMC Topic: Brain

Clear Filters Showing 4251 to 4260 of 4413 articles

Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks.

IEEE transactions on medical imaging
In a wide range of semantic segmentation tasks, fully convolutional neural networks (F-CNNs) have been successfully leveraged to achieve the state-of-the-art performance. Architectural innovations of F-CNNs have mainly been on improving spatial encod...

AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation.

Journal of digital imaging
Deep learning is one of the subsets of machine learning that is widely used in artificial intelligence (AI) field such as natural language processing and machine vision. The deep convolution neural network (DCNN) extracts high-level concepts from low...

Image Based Brain Segmentation: From Multi-Atlas Fusion to Deep Learning.

Current medical imaging reviews
BACKGROUND: This review aims to identify the development of the algorithms for brain tissue and structure segmentation in MRI images.

Deep Learning for Alzheimer's Disease Classification using Texture Features.

Current medical imaging reviews
BACKGROUND: We propose a classification method for Alzheimer's disease (AD) based on the texture of the hippocampus, which is the organ that is most affected by the onset of AD.

LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...

A Hybrid Approach for Sub-Acute Ischemic Stroke Lesion Segmentation Using Random Decision Forest and Gravitational Search Algorithm.

Current medical imaging reviews
BACKGROUND: The sub-acute ischemic stroke is the most basic illnesses reason for death on the planet. We evaluate the impact of segmentation technique during the time of breaking down the capacities of the cerebrum.

Alzheimer's Disease Classification Based on Multi-feature Fusion.

Current medical imaging reviews
BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).

Brain-Machine Interface-Based Rat-Robot Behavior Control.

Advances in experimental medicine and biology
Brain-machine interface (BMI) provides a bidirectional pathway between the brain and external facilities. The machine-to-brain pathway makes it possible to send artificial information back into the biological brain, interfering neural activities and ...

Imaging Connectomics and the Understanding of Brain Diseases.

Advances in experimental medicine and biology
Neuroimaging-based personalized medicine is emerging to characterize brain disorders and their evolution at the patient level. In this chapter, we present the most classic methods used to infer large-scale brain connectivity based on functional MRI. ...

[Horizon of artificial intelligence and neurosciences. About robots, androids and cyborgs].

Medicina
Artificial intelligence permits cerebral processes to be analyzed like computing processes. We can recognize two disturbing lines we can call: The Robot Project, android when is anthropomorphic, and The Cyborg Project. Robots are destined to perform ...