AIMC Topic: Deep Learning

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Prediction of EGFR Mutations in Lung Adenocarcinoma via CT Images: A Comparative Study of Intratumoral and Peritumoral Radiomics, Deep Learning, and Fusion Models.

Academic radiology May 5, 2025
RATIONALE AND OBJECTIVES: This study aims to analyze the intratumoral and peritumoral characteristics of lung adenocarcinoma patients on the basis of chest CT images via radiomic and deep learning methods and to develop and validate a multimodel fusi...
Radiomics Male Middle Aged Humans Female Radiographic Image Interpretation, Computer-Assisted Aged Retrospective Studies Deep Learning ErbB Receptors Tomography, X-Ray Computed Adenocarcinoma of Lung Lung Neoplasms Mutation
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Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

Neuroscience May 5, 2025
Epilepsy is one of the most frequently occurring neurological disorders that require early and accurate detection. This paper introduces a novel approach for the automatic identification of epilepsy in EEG signals by incorporating advanced entropy-ba...
Epilepsy Neural Networks, Computer Signal Processing, Computer-Assisted Deep Learning Humans Entropy Electroencephalography
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A Novel 3D Approach with a CNN and Swin Transformer for Decoding EEG-Based Motor Imagery Classification.

Sensors (Basel, Switzerland) May 5, 2025
Motor imagery (MI) is a crucial research field within the brain-computer interface (BCI) domain. It enables patients with muscle or neural damage to control external devices and achieve movement functions by simply imagining bodily motions. Despite t...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Signal-To-Noise Ratio Movement Deep Learning Electroencephalography Signal Processing, Computer-Assisted Imagination
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

BMC medical imaging May 5, 2025
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR) depend on accurately segmenting retinal vessels, which can be achieved through the invasive techni...
Fundus Oculi Image Interpretation, Computer-Assisted Autoencoder Deep Learning Humans Diabetic Retinopathy Image Processing, Computer-Assisted Retinal Vessels Neural Networks, Computer Algorithms
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M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling.

BMC bioinformatics May 5, 2025
BACKGROUND: Association and cooperation among structural domains play an important role in protein function and drug design. Despite remarkable advancements in highly accurate single-domain protein structure prediction through the collaborative effor...
Protein Conformation Models, Molecular Protein Domains Computational Biology Proteins Databases, Protein Algorithms Deep Learning
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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Scientific reports May 5, 2025
Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detection being critical to improving patient outcomes. Recent advancements in deep learning have shown promise in enhancing diagnostic accuracy, particularl...
Algorithms Deep Learning Convolutional Neural Networks Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Neural Networks, Computer
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Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.

Scientific reports May 5, 2025
This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral audiometry. The research provides a dedicated pediatric posture detection dataset, which contains a large number of video clips from children's behavi...
Humans Posture Video Recording Hearing Hearing Tests Deep Learning Female Child, Preschool Male Audiometry Child
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Advanced holographic convolutional dense networks and Tangent runner optimization for enhanced polycystic ovarian disease classification.

Scientific reports May 5, 2025
Polycystic Ovarian Disease (PCOD) is among the most prevalent endocrine disorders complicating the health of innumerable women worldwide due to lack of diagnosis and appropriate management. The diagnosis of PCOD, along with proper classification with...
Polycystic Ovary Syndrome Holography Deep Learning Ultrasonography Image Processing, Computer-Assisted Algorithms Female Humans
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An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

Scientific reports May 5, 2025
The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful long-term health impacts would considerably enhance individual treatment plans. Due to the continuous exposure to radiation, cardiovascular disease and...
Neoplasms Deep Learning Humans Neural Networks, Computer Algorithms Prognosis
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TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices.

PloS one May 5, 2025
Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely ...
Humans Neural Networks, Computer Forecasting Deep Learning China Gold Commerce
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