AIMC Topic: Deep Learning

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optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).

Physics in medicine and biology Jul 2, 2025
To accelerate optical photon transport simulations in the GATE medical physics framework using a generative adversarial network (GAN), while ensuring high modeling accuracy. Traditionally, detailed optical Monte Carlo methods have been the gold stand...
Photons Optical Phenomena Deep Learning Programming Languages Monte Carlo Method
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Few-shot network intrusion detection method based on multi-domain fusion and cross-attention.

PloS one Jul 2, 2025
Deep learning methods have achieved remarkable progress in network intrusion detection. However, their performance often deteriorates significantly in real-world scenarios characterized by limited attack samples and substantial domain shifts. To addr...
Deep Learning Neural Networks, Computer Algorithms
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval.

PloS one Jul 2, 2025
Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and countr...
Particle Swarm Optimization Humans Natural Language Processing Machine Learning Information Storage and Retrieval Algorithms Deep Learning
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The design of consumer behavior prediction and optimization model by integrating DQN and LSTM.

PloS one Jul 2, 2025
Amidst the rapid evolution of e-commerce and the growing abundance of consumer shopping data, accurately identifying consumer interests and enabling targeted outreach has become a critical focus for merchants and researchers. This study introduces th...
Consumer Behavior Reinforcement, Psychology Humans Deep Learning
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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness.

PloS one Jul 2, 2025
Information technology has significantly impacted society. IoT and its specialized variant, IoMT, enable remote patient monitoring and improve healthcare. While it contributes to improving healthcare services, it may pose significant security challen...
Humans Neural Networks, Computer Internet of Things Algorithms Deep Learning
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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF).

PloS one Jul 2, 2025
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing state-of-the-art deep learning techniques, with the goal of minimizing the consequences of epilepsy on individuals and society. Current approaches fo...
Fuzzy Logic Epilepsy, Temporal Lobe Image Processing, Computer-Assisted Algorithms Deep Learning Female Adult Humans Male Magnetic Resonance Imaging
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Leveraging multithreading on edge computing for smart healthcare based on intelligent multimodal classification approach.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 1, 2025
Medical digitization has been intensively developed in the last decade, leading to paving the path for computer-aided medical diagnosis research. Thus, anomaly detection based on machine and deep learning techniques has been extensively employed in h...
Deep Learning Decision Support Systems, Clinical Algorithms Diagnosis, Computer-Assisted Humans Machine Learning
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PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 1, 2025
Recent advancements in deep learning techniques have contributed to developing improved polyp segmentation methods, thereby aiding in the diagnosis of colorectal cancer and facilitating automated surgery like endoscopic submucosal dissection (ESD). H...
Deep Learning Supervised Machine Learning Humans Colorectal Neoplasms Image Interpretation, Computer-Assisted Colonic Polyps
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Cephalometric landmark detection using vision transformers with direct coordinate prediction.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Jul 1, 2025
Cephalometric Landmark Detection (CLD), i.e. annotating interest points in lateral X-ray images, is the crucial first step of every orthodontic therapy. While CLD has immense potential for automation using Deep Learning methods, carefully crafted con...
Neural Networks, Computer Deep Learning Anatomic Landmarks Cephalometry Humans
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Improving YOLO-based breast mass detection with transfer learning pretraining on the OPTIMAM Mammography Image Database.

Computers in biology and medicine Jul 1, 2025
BACKGROUND AND OBJECTIVES: Early detection of breast cancer through mammography significantly improves survival rates. However, high false positive and false negative rates remain a challenge. Deep learning-based computer-aided diagnosis systems can ...
Radiographic Image Interpretation, Computer-Assisted Female Deep Learning Humans Breast Breast Neoplasms Mammography Databases, Factual
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