AIMC Topic: Deep Learning
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Deep learning algorithm classification of tympanostomy tube images from a heterogenous pediatric population.
International journal of pediatric otorhinolaryngology
Mar 13, 2025
IMPORTANCE: The ability to augment routine post-operative tube check appointments with at-home digital otoscopes and deep learning AI could improve health care access as well as reduce financial and time burden on families.
Deep learning-based automated segmentation of cardiac real-time MRI in non-human primates.
Computers in biology and medicine
Mar 13, 2025
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascular disease diagnosis and monitoring in humans and animal models. Real-time (RT) MRI, which can capture a single slice during each consecutive heartbea...
A deep Bi-CapsNet for analysing ECG signals to classify cardiac arrhythmia.
Computers in biology and medicine
Mar 13, 2025
- In recent times, the electrocardiogram (ECG) has been considered as a significant and effective screening mode in clinical practice to assess cardiac arrhythmias. Precise feature extraction and classification are considered as essential concerns in...
Deep learning in nuclear medicine: from imaging to therapy.
Annals of nuclear medicine
Mar 13, 2025
BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkable potential in revolutionizing nuclear medicine.
Exploration of Novel Antimicrobial Agents against Foodborne Pathogens via a Deep Learning Approach.
Journal of agricultural and food chemistry
Mar 13, 2025
The emergence of antibiotic-resistant bacteria poses a severe threat to food safety and human health, necessitating an urgent search for novel antimicrobial agents that can be applied in the food industry. This study utilizes a deep learning approach...
Thermal Adaptation of Cytosolic Malate Dehydrogenase Revealed by Deep Learning and Coevolutionary Analysis.
Journal of chemical theory and computation
Mar 13, 2025
Protein evolution has shaped enzymes that maintain stability and function across diverse thermal environments. While sequence variation, thermal stability and conformational dynamics are known to influence an enzyme's thermal adaptation, how these fa...
Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 13, 2025
BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic resonance imaging (MRI) is essential for effective treatment and surgical planning.
A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification.
Scientific reports
Mar 13, 2025
Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in the light-sensitive retinal area. DR sufferers should receive urgent therapy to avoid vision loss. The intelligent medical diagnosis system for DR is e...
Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture.
Scientific reports
Mar 13, 2025
Classifying medical images is essential in computer-aided diagnosis (CAD). Although the recent success of deep learning in the classification tasks has proven advantages over the traditional feature extraction techniques, it remains challenging due t...
A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.
Scientific reports
Mar 13, 2025
Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution microcomputed tomography (µCT) bone scans. In this paper, we present the dual-branch attention-based hybrid network (DBAHNet), a deep learning archit...
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