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Convolutional neural network-based ambient light-independent panel digit surveillance technique for infusion pumps.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
For effective patient therapy and improved patient safety, it is critical to administer medication accurately in accordance with doctor's prescription. However, accidents owing to the erroneous programing of infusion pumps caused by users have been c...

Low-Light Image Enhancement Based on Multi-Path Interaction.

Sensors (Basel, Switzerland)
Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhan...

Auto-focusing and quantitative phase imaging using deep learning for the incoherent illumination microscopy system.

Optics express
It is well known that the quantitative phase information which is vital in the biomedical study is hard to be directly obtained with bright-field microscopy under incoherent illumination. In addition, it is impossible to maintain the living sample in...

Physics-based learning with channel attention for Fourier ptychographic microscopy.

Journal of biophotonics
Fourier ptychographic microscopy (FPM) is a computational imaging technology for large field-of-view, high resolution and quantitative phase imaging. In FPM, low-resolution intensity images captured with angle-varying illumination are synthesized in ...

Efficient Detection Method of Pig-Posture Behavior Based on Multiple Attention Mechanism.

Computational intelligence and neuroscience
Due to the low detection precision and poor robustness, the traditional pig-posture and behavior detection method is difficult to apply in the complex pig captivity environment. In this regard, we designed the HE-Yolo (High-effect Yolo) model, which ...

Improved Feature-Based Gaze Estimation Using Self-Attention Module and Synthetic Eye Images.

Sensors (Basel, Switzerland)
Gaze is an excellent indicator and has utility in that it can express interest or intention and the condition of an object. Recent deep-learning methods are mainly appearance-based methods that estimate gaze based on a simple regression from entire f...

Deep learning for blind structured illumination microscopy.

Scientific reports
Blind-structured illumination microscopy (blind-SIM) enhances the optical resolution without the requirement of nonlinear effects or pre-defined illumination patterns. It is thus advantageous in experimental conditions where toxicity or biological fl...

DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion.

Sensors (Basel, Switzerland)
Infrared images are robust against illumination variation and disguises, containing the sharp edge contours of objects. Visible images are enriched with texture details. Infrared and visible image fusion seeks to obtain high-quality images, keeping t...

Highly robust and soft biohybrid mechanoluminescence for optical signaling and illumination.

Nature communications
Biohybrid is a newly emerging and promising approach to construct soft robotics and soft machines with novel functions, high energy efficiency, great adaptivity and intelligence. Despite many unique advantages of biohybrid systems, it is well known t...

Invertible Neural BRDF for Object Inverse Rendering.

IEEE transactions on pattern analysis and machine intelligence
We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse rendering, i.e., joint estimation of reflectance and natural illumination from a single image of an object of known geometry. The BRDF is expressed with ...