AIMC Topic: Neural Networks, Computer

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Neural networks of different species, brain areas and states can be characterized by the probability polling state.

The European journal of neuroscience
Cortical networks are complex systems of a great many interconnected neurons that operate from collective dynamical states. To understand how cortical neural networks function, it is important to identify their common dynamical operating states from ...

CAB U-Net: An end-to-end category attention boosting algorithm for segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
With the development of machine learning and artificial intelligence, many convolutional neural networks (CNNs) based segmentation methods have been proposed for 3D cardiac segmentation. In this paper, we propose the category attention boosting (CAB)...

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

International journal of medical informatics
BACKGROUND: Automated classification of glomerular pathological findings is potentially beneficial in establishing an efficient and objective diagnosis in renal pathology. While previous studies have verified the artificial intelligence (AI) models f...

Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...

Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...

Kidney segmentation from computed tomography images using deep neural network.

Computers in biology and medicine
BACKGROUND: The precise segmentation of kidneys and kidney tumors can help medical specialists to diagnose diseases and improve treatment planning, which is highly required in clinical practice. Manual segmentation of the kidneys is extremely time-co...

Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms.

Sensors (Basel, Switzerland)
We propose a sign language recognition system based on wearable electronics and two different classification algorithms. The wearable electronics were made of a sensory glove and inertial measurement units to gather fingers, wrist, and arm/forearm mo...

Cross-Modal Search for Social Networks via Adversarial Learning.

Computational intelligence and neuroscience
Cross-modal search has become a research hotspot in the recent years. In contrast to traditional cross-modal search, social network cross-modal information search is restricted by data quality for arbitrary text and low-resolution visual features. In...

Deep Neural Network for Automatic Classification of Pathological Voice Signals.

Journal of voice : official journal of the Voice Foundation
OBJECTIVES: Computer-aided pathological voice detection is efficient for initial screening of pathological voice, and has received high academic and clinical attention. This paper proposes an automatic diagnosis method of pathological voice based on ...

Intelligent animal detection system using sparse multi discriminative-neural network (SMD-NN) to mitigate animal-vehicle collision.

Environmental science and pollution research international
Animal-Vehicle Collision (AVC) is a predominant problem in both urban and rural roads and highways. Detecting animals on the road is challenging due to factors like the fast movement of both animals and vehicles, highly cluttered environmental settin...