AIMC Topic: Infrared Rays
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Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection.
Scientific reports
Jul 28, 2025
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable public health concern. Consequently, the prompt identification of cancer is crucial, as research indicates that 96% of cancers are treatable if diagnosed ...
Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.
Scientific reports
Jul 13, 2025
Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, with an estimated incidence exceeding 500,000 new cases annually. Timely diagnosis is vital for enhancing therapeutic outcomes and increasing survival p...
Saliency-enhanced infrared and visible image fusion via sub-window variance filter and weighted least squares optimization.
PloS one
Jul 7, 2025
This paper proposes a novel method for infrared and visible image fusion (IVIF) to address the limitations of existing techniques in enhancing salient features and improving visual clarity. The method employs a sub-window variance filter (SVF) based ...
Evaluating safe infrared neural stimulation parameters: Calcium dynamics and excitotoxicity thresholds in dorsal root ganglia neurons.
Journal of neuroscience methods
May 16, 2025
BACKGROUND: As a promising neural stimulation technique, infrared neural stimulation (INS) has recently gained significant attention due to its ability to stimulate neuronal activities without needing exogenous agents. NIR light is absorbed by water ...
Infrared thermography of beef carcasses and random forest algorithm to predict temperature and pH of Longissimus thoracis on carcasses.
Meat science
Apr 10, 2025
This study aimed to evaluate the use of infrared thermography (IRT) as a method for predicting the initial and ultimate temperature, as well as the pH, of the Longissimus thoracis in beef carcasses (LTBC). A total of 102 beef carcasses, consisting of...
Deep Learning Enhanced Near Infrared-II Imaging and Image-Guided Small Interfering Ribonucleic Acid Therapy of Ischemic Stroke.
ACS nano
Mar 5, 2025
Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome has emerged as a promising therapeutic strategy to mitigate infarct volume and brain injury following ischemic stroke. However, the cl...
Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications.
Sensors (Basel, Switzerland)
Feb 1, 2025
The state of the art in IR thermal imaging methods for applications in medical diagnostics is discussed. A review of advances in IR thermal imaging technology in the years 1960-2024 is presented. Recently used artificial intelligence (AI) methods in ...
From Sea Cucumbers to Soft Robots: A Photothermal-Responsive Hydrogel Actuator with Shape Memory.
ACS applied materials & interfaces
Jan 19, 2025
Soft robotics has undergone considerable progress driven by materials that can effectively transduce external stimuli into mechanical actuation. Here, we report the development of a photothermal-responsive hydrogel actuator with shape memory capabili...
Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.
Nature communications
Dec 30, 2024
Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However, the long mid-infrared optical wavelengths make the spatial resolution of photoacoustic microscopy significantly poorer than that of conventional conf...
Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.
STAR protocols
Dec 19, 2024
Closed-loop neural control is a powerful tool for both the scientific exploration of neural function and for mitigating deficiencies found in open-loop deep brain stimulation (DBS). Here, we present a protocol for artificial intelligence-guided neura...
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