AIMC Topic: Neural Networks, Computer

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Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images.

BMC bioinformatics
BACKGROUND: Automated segmentation of nuclei in microscopic images has been conducted to enhance throughput in pathological diagnostics and biological research. Segmentation accuracy and speed has been significantly enhanced with the advent of convol...

Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks.

BMC bioinformatics
BACKGROUND: Proteins are of extremely vital importance in the human body, and no movement or activity can be performed without proteins. Currently, microscopy imaging technologies developed rapidly are employed to observe proteins in various cells an...

Full-state constrained neural control and learning for the nonholonomic wheeled mobile robot with unknown dynamics.

ISA transactions
The adaptive learning and control are proposed for the full-state(FS) constrained NWMR system with external destabilization. First, the constrained state is reformulated as the unconstrained state. Then, approximating the unknown dynamics in the clos...

Quantized control for extended dissipative synchronization of chaotic neural networks: A discretized LKF method.

ISA transactions
This work focuses on the extended dissipative synchronization problem for chaotic neural networks with time delay under quantized control. The discretized Lyapunov-Krasovskii functional method, in combination with the free-weighting matrix approach, ...

Experimental and numerical diagnosis of fatigue foot using convolutional neural network.

Computer methods in biomechanics and biomedical engineering
Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism also is a crucial matter in designing a workout program. It is mainly related to physical injury, cerebrovascular accident, spinal cord injury, and rheu...

Deep convolutional neural networks for COVID-19 automatic diagnosis.

Microscopy research and technique
This article is mainly concerned with COVID-19 diagnosis from X-ray images. The number of cases infected with COVID-19 is increasing daily, and there is a limitation in the number of test kits needed in hospitals. Therefore, there is an imperative ne...

Coronary vessel detection methods for organ-mounted robots.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: HeartLander is a tethered robot walker that utilizes suction to adhere to the beating heart. HeartLander can be used for minimally invasive administration of cardiac medications or ablation of tissue. In order to administer injections saf...

Capsule networks for segmentation of small intravascular ultrasound image datasets.

International journal of computer assisted radiology and surgery
PURPOSE: Intravascular ultrasound (IVUS) imaging is crucial for planning and performing percutaneous coronary interventions. Automatic segmentation of lumen and vessel wall in IVUS images can thus help streamlining the clinical workflow. State-of-the...

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order.

International journal of neural systems
Neural Architecture Search (NAS), which aims at automatically designing neural architectures, recently draw a growing research interest. Different from conventional NAS methods, in which a large number of neural architectures need to be trained for e...