AIMC Topic: Deep Learning

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Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration.

Scientific reports Feb 24, 2025
Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in the retina, beyond the conventional fields of view used in current clinical OCT imaging systems. However, wide-field scans can present significant ch...
Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence Humans Deep Learning Retina Neural Networks, Computer
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features.

Scientific reports Feb 24, 2025
Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct a clean, noise-free image from a noisy input, such as a mammogram image. In recent years, deep learning, particularly convolutional neural networks (C...
Image Processing, Computer-Assisted Mammography Signal-To-Noise Ratio Breast Neoplasms Deep Learning Algorithms Female Humans Neural Networks, Computer
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Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Scientific reports Feb 24, 2025
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has developed a gradually significant public health concern in emerging and low-to-middle-income states. Late diagnosis, high incidence, and inadequate t...
Image Processing, Computer-Assisted Mouth Neoplasms Machine Learning Deep Learning Humans
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

PloS one Feb 24, 2025
Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates often attributed to late-stage diagnosis. To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems tha...
Diagnosis, Computer-Assisted Machine Learning Humans Lung Neoplasms Algorithms Deep Learning Neural Networks, Computer Support Vector Machine
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Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management.

Biomedical engineering online Feb 23, 2025
This paper reviews the recent advancements in the application of deep learning combined with electrocardiography (ECG) within the domain of cardiovascular diseases, systematically examining 198 high-quality publications. Through meticulous categoriza...
Deep Learning Electrocardiography Humans Cardiovascular Diseases
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Deep learning algorithms for detecting fractured instruments in root canals.

BMC oral health Feb 23, 2025
BACKGROUND: Identifying fractured endodontic instruments (FEIs) in periapical radiographs (PAs) is a critical yet challenging aspect of root canal treatment (RCT) due to anatomical complexities and overlapping structures. Deep learning (DL) models of...
Humans Root Canal Therapy Dental Pulp Cavity Dental Instruments Equipment Failure Algorithms Deep Learning
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Enhancing Functional Protein Design Using Heuristic Optimization and Deep Learning for Anti-Inflammatory and Gene Therapy Applications.

Proteins Feb 22, 2025
Protein sequence design is a highly challenging task, aimed at discovering new proteins that are more functional and producible under laboratory conditions than their natural counterparts. Deep learning-based approaches developed to address this prob...
Models, Molecular Anti-Inflammatory Agents Deep Learning Proteins Protein Conformation Genetic Therapy Protein Engineering Amino Acid Sequence Heuristics Humans Algorithms
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Replica tree-based federated learning using limited data.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
Learning from limited data has been extensively studied in machine learning, considering that deep neural networks achieve optimal performance when trained using a large amount of samples. Although various strategies have been proposed for centralize...
Machine Learning Algorithms Humans Neural Networks, Computer Deep Learning Federated Learning
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Adversarial perturbation and defense for generalizable person re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
In the Domain Generalizable Person Re-Identification (DG Re-ID) task, the quality of identity-relevant descriptor is crucial for domain generalization performance. However, for hard-matching samples, it is difficult to separate high-quality identity-...
Detection Algorithms Deep Learning Convolutional Neural Networks Biometric Identification Semantics Software Validation
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CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
Hyperspectral image classification is an important foundational technology in the field of Earth observation and remote sensing. In recent years, deep learning has achieved a series of remarkable achievements in this area. These deep learning-based h...
Algorithms Deep Learning Image Processing, Computer-Assisted Hyperspectral Imaging Neural Networks, Computer
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