AIMC Topic: Neural Networks, Computer

Clear Filters Showing 29451 to 29460 of 31376 articles

Deep Learning-Based Nuclear Lobe Count Method for Differential Count of Neutrophils.

The Tohoku journal of experimental medicine
Differentiating neutrophils based on the count of nuclear lobulation is useful for diagnosing various hematological disorders, including megaloblastic anemia, myelodysplastic syndrome, and sepsis. It has been reported that one-fifth of sepsis-infecte...

Future artificial intelligence tools and perspectives in medicine.

Current opinion in urology
PURPOSE OF REVIEW: Artificial intelligence has become popular in medical applications, specifically as a clinical support tool for computer-aided diagnosis. These tools are typically employed on medical data (i.e., image, molecular data, clinical var...

[Using electroencephalogram for emotion recognition based on filter-bank long short-term memory networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Emotion plays an important role in people's cognition and communication. By analyzing electroencephalogram (EEG) signals to identify internal emotions and feedback emotional information in an active or passive way, affective brain-computer interactio...

Digging roots is easier with AI.

Journal of experimental botany
The scale of root quantification in research is often limited by the time required for sampling, measurement, and processing samples. Recent developments in convolutional neural networks (CNNs) have made faster and more accurate plant image analysis ...

High-speed serial deep learning through temporal optical neurons.

Optics express
Deep learning is able to functionally mimic the human brain and thus, it has attracted considerable recent interest. Optics-assisted deep learning is a promising approach to improve forward-propagation speed and reduce the power consumption of electr...

An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography.

Mathematical biosciences and engineering : MBE
Glaucoma is a chronic ocular degenerative disease that can cause blindness if left untreated in its early stages. Deep Convolutional Neural Networks (Deep CNNs) and its variants have provided superior performance in glaucoma classification, segmentat...

Machine learning for perturbational single-cell omics.

Cell systems
Cell biology is fundamentally limited in its ability to collect complete data on cellular phenotypes and the wide range of responses to perturbation. Areas such as computer vision and speech recognition have addressed this problem of characterizing u...

Using graph convolutional neural networks to learn a representation for glycans.

Cell reports
As the only nonlinear and the most diverse biological sequence, glycans offer substantial challenges for computational biology. These carbohydrates participate in nearly all biological processes-from protein folding to viral cell entry-yet are still ...

3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.

Journal of Zhejiang University. Science. B
To overcome the computational burden of processing three-dimensional (3D) medical scans and the lack of spatial information in two-dimensional (2D) medical scans, a novel segmentation method was proposed that integrates the segmentation results of th...