AIMC Topic: Image Processing, Computer-Assisted

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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...
Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans Diagnostic Imaging Neural Networks, Computer Artificial Intelligence Algorithms
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Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models.

Scientific reports Mar 13, 2025
The segmentation of liver margins in computed tomography (CT) images presents significant challenges due to the complex anatomical variability of the liver, with critical implications for medical diagnostics and treatment planning. In this study, we ...
Iran Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Liver Neural Networks, Computer Deep Learning
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Deep learning based agricultural pest monitoring and classification.

Scientific reports Mar 13, 2025
Precise pest classification plays an essential role in smart agriculture. Crop yields are severely impacted by pest damage, which poses a critical challenge for agricultural production and the economy. Identifying pests is of utmost importance, but m...
Neural Networks, Computer Crops, Agricultural Deep Learning Image Processing, Computer-Assisted Pest Control Agriculture
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Enhancing yeast cell tracking with a time-symmetric deep learning approach.

NPJ systems biology and applications Mar 13, 2025
Accurate tracking of live cells using video microscopy recordings remains a challenging task for popular state-of-the-art image processing-based object tracking methods. In recent years, many applications have attempted to integrate deep-learning fra...
Algorithms Deep Learning Saccharomyces cerevisiae Cell Tracking Image Processing, Computer-Assisted Microscopy, Video
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DCAlexNet: Deep coupled AlexNet for micro facial expression recognition based on double face images.

Computers in biology and medicine Mar 12, 2025
Facial Micro-Expression Recognition (FER) presents challenges due to individual variations in emotional intensity and the complexity of feature extraction. While apex frames offer valuable emotional information, their precise role in FER remains uncl...
Female Facial Expression Neural Networks, Computer Male Automated Facial Recognition Databases, Factual Convolutional Neural Networks Face Image Processing, Computer-Assisted Humans Deep Learning
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Progressive multi-task learning for fine-grained dental implant classification and segmentation in CBCT image.

Computers in biology and medicine Mar 12, 2025
With the ongoing advancement of digital technology, oral medicine transitions from traditional diagnostics to computer-assisted diagnosis and treatment. Identifying dental implants in patients without records is complex and time-consuming. Accurate i...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Deep Learning Dental Implants
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Zebrafish identification with deep CNN and ViT architectures using a rolling training window.

Scientific reports Mar 12, 2025
Zebrafish are widely used in vertebrate studies, yet minimally invasive individual tracking and identification in the lab setting remain challenging due to complex and time-variable conditions. Advancements in machine learning, particularly neural ne...
Machine Learning Animals Image Processing, Computer-Assisted Zebrafish Deep Learning Neural Networks, Computer
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Hierarchical agent transformer network for COVID-19 infection segmentation.

Biomedical physics & engineering express Mar 12, 2025
Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis and treatment. While convolutional neural networks (CNNs) exhibit strong performance in medical image segmentation, they face challenges in handling co...
Humans Neural Networks, Computer Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Image Processing, Computer-Assisted Algorithms
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The Role of AI in Lymphoma: An Update.

Seminars in nuclear medicine Mar 11, 2025
Malignant lymphomas encompass a range of malignancies with incidence rising globally, particularly with age. In younger populations, Hodgkin and Burkitt lymphomas predominate, while older populations more commonly experience subtypes such as diffuse ...
Artificial Intelligence Image Processing, Computer-Assisted Lymphoma Humans Positron Emission Tomography Computed Tomography
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Bone-wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes.

Journal of applied clinical medical physics Mar 11, 2025
BACKGROUND: Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert...
Femur Tomography, X-Ray Computed Fibula Neural Networks, Computer Imaging, Three-Dimensional Algorithms Humans Image Processing, Computer-Assisted Multiple Myeloma Tibia
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