AIMC Topic: Deep Learning
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A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction.
Journal of chemical information and modeling
Mar 24, 2025
The potential of hydrogen (pH) influences the function of the enzyme. Measuring or predicting the optimal pH (pH) at which enzymes exhibit maximal catalytic activity is crucial for enzyme design and application. The rapid development of enzyme mining...
Application of automatic image analysis using a Deep Learning Neural Network for assessing the growth of green algae containing carotenoids - importance for environment, health and aquaculture.
Annals of agricultural and environmental medicine : AAEM
Mar 24, 2025
Using deep learning and neural networks enables us to greatly speed-up quantitative studies and provide a useful tool for analyzing microscopic images. Studies conducted on selected algae and sp. confirm the feasibility of using the deep learning n...
Reasoning-Driven Food Energy Estimation via Multimodal Large Language Models.
Nutrients
Mar 24, 2025
Image-based food energy estimation is essential for user-friendly food tracking applications, enabling individuals to monitor their dietary intake through smartphones or AR devices. However, existing deep learning approaches struggle to recognize a ...
Establishment of a deep-learning-assisted recurrent nasopharyngeal carcinoma detecting simultaneous tactic (DARNDEST) with high cost-effectiveness based on magnetic resonance images: a multicenter study in an endemic area.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 24, 2025
BACKGROUND: To investigate the feasibility of detecting local recurrent nasopharyngeal carcinoma (rNPC) using unenhanced magnetic resonance images (MRI) and optimize a layered management strategy for follow-up with a deep learning model.
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video).
BMC medical informatics and decision making
Mar 24, 2025
OBJECTIVE: In the functional assessment of the esophagogastric junction (EGJ), the endoscopic Hill classification plays a pivotal role in classifying the morphology of the gastroesophageal flap valve (GEFV). This study aims to develop an artificial i...
Intelligent detection and grading diagnosis of fresh rib fractures based on deep learning.
BMC medical imaging
Mar 24, 2025
BACKGROUND: Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity of rib structures on CT images.
A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy.
Scientific reports
Mar 24, 2025
This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-UNet) for rapid and precise delineation of high-risk clinical target volume (HRCTV) and organs at risk (OARs) in cervical cancer brachytherapy. Using ...
Two-tier nature inspired optimization-driven ensemble of deep learning models for effective autism spectrum disorder diagnosis in disabled persons.
Scientific reports
Mar 24, 2025
Autism spectrum disorder (ASD) includes a varied set of neuropsychiatric illnesses. This disorder is described by a definite grade of loss in social communication, academic functioning, personal contact, and limited and repetitive behaviours. Individ...
Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.
Scientific reports
Mar 24, 2025
Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remains challenging because of multifactorial risk factors. IVH often occurs within a few hours after birth, yet its onset cannot be reliably predicted usi...
Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.
PloS one
Mar 24, 2025
Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi (T. cruzi), represents a major public health concern in most of the American continent and causes 12,000 deaths every year. CD clinically manifests in two phases (acute and chron...
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