AI Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 371 to 380 of 2841 articles

Clear Filters

Multi-loss, feature fusion and improved top-two-voting ensemble for facial expression recognition in the wild.

Neural networks : the official journal of the International Neural Network Society
Facial expression recognition (FER) in the wild is a challenging pattern recognition task affected by the images' low quality and has attracted broad interest in computer vision. Existing FER methods failed to obtain sufficient accuracy to support th...

Arithmetic abilities of SNP systems with astrocytes producing calcium.

Neural networks : the official journal of the International Neural Network Society
Are the membrane systems able of performing arithmetic operations? In the last dozen years, there were published several implementations of the arithmetic operations based on membrane systems by using all available topologies (cell-like, tissue-like,...

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...

Optimization control for mean square synchronization of stochastic semi-Markov jump neural networks with non-fragile hidden information and actuator saturation.

Neural networks : the official journal of the International Neural Network Society
This paper studies the asynchronous output feedback control and H synchronization problems for a class of continuous-time stochastic hidden semi-Markov jump neural networks (SMJNNs) affected by actuator saturation. Initially, a novel neural networks ...

An object detection-based model for automated screening of stem-cells senescence during drug screening.

Neural networks : the official journal of the International Neural Network Society
Deep learning-based cell senescence detection is crucial for accurate quantitative analysis of senescence assessment. However, senescent cells are small in size and have little differences in appearance and shape in different states, which leads to i...

Binarized Simplicial Convolutional Neural Networks.

Neural networks : the official journal of the International Neural Network Society
Graph Neural Networks have the limitation of processing features solely on graph nodes, neglecting data on high-dimensional structures such as edges and triangles. Simplicial Convolutional Neural Networks (SCNN) represent high-order structures using ...

Separable integral neural networks.

Neural networks : the official journal of the International Neural Network Society
Integral neural networks adopt continuous integral operators instead of conventional discrete convolutional operations to perform deep learning tasks. As this integral operator is the continuous representation of the regular convolutional operation, ...

BalancerGNN: Balancer Graph Neural Networks for imbalanced datasets: A case study on fraud detection.

Neural networks : the official journal of the International Neural Network Society
Fraud detection for imbalanced datasets is challenging due to machine learning models inclination to learn the majority class. Imbalance in fraud detection datasets affects how graphs are built, an important step in many Graph Neural Networks (GNNs)....

Multi-scale graph harmonies: Unleashing U-Net's potential for medical image segmentation through contrastive learning.

Neural networks : the official journal of the International Neural Network Society
Medical image segmentation is essential for accurately representing tissues and organs in scans, improving diagnosis, guiding treatment, enabling quantitative analysis, and advancing AI-assisted healthcare. Organs and lesion areas in medical images h...

Iterative neural networks for improving memory capacity.

Neural networks : the official journal of the International Neural Network Society
In recent years, the problem of the multistability of neural networks has been studied extensively. From the research results obtained, the number of stable equilibrium points depends only on a power form of the network dimension. However, in practic...