AIMC Topic: Image Processing, Computer-Assisted

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Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom...
Early Diagnosis Handwriting Image Processing, Computer-Assisted Parkinson Disease Humans Neural Networks, Computer Algorithms Deep Learning
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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images.

Scientific reports Jul 1, 2025
Convolutional Neural Networks (CNNs), a sophisticated deep learning technique, have proven highly effective in identifying and classifying abnormalities related to various diseases. The manual classification of these is a hectic and time-consuming pr...
Pregnancy Female Breast Neoplasms Humans Neural Networks, Computer Image Processing, Computer-Assisted Ultrasonography, Prenatal Fetus Deep Learning
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A deep learning approach to stress recognition through multimodal physiological signal image transformation.

Scientific reports Jul 1, 2025
Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress involves assessing an individual's physiological and psychological responses to stressors, which is crucial for human well-being. Physiological signal-bas...
Markov Chains Humans Stress, Psychological Deep Learning Image Processing, Computer-Assisted
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A highly generalized federated learning algorithm for brain tumor segmentation.

Scientific reports Jul 1, 2025
Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The i...
Artificial Intelligence Machine Learning Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Federated Learning Brain Neoplasms
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A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images.

Biomedical engineering online Jun 25, 2025
OBJECTIVE: To investigate the potential of a hybrid multi-instance learning model (TGMIL) combining Transformer and graph attention networks for classifying gastric adenocarcinoma differentiation on whole-slide images (WSIs) without manual annotation...
Machine Learning Stomach Neoplasms Image Processing, Computer-Assisted Adenocarcinoma Humans
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CATransU-Net: Cross-attention TransU-Net for field rice pest detection.

PloS one Jun 25, 2025
Accurate detection of rice pests in field is a key problem in field pest control. U-Net can effectively extract local image features, and Transformer is good at dealing with long-distance dependencies. A Cross-Attention TransU-Net (CATransU-Net) mode...
Oryza Insecta Animals Pest Control Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation.

PloS one Jun 25, 2025
Human pose estimation (HPE) has made significant progress with deep learning; however, it still faces challenges in handling occlusions, complex poses, and complex multi-person scenarios. To address these issues, we propose PoseNet++, a novel approac...
Image Processing, Computer-Assisted Posture Algorithms Deep Learning Humans Neural Networks, Computer
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A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism.

PloS one Jun 24, 2025
Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with...
Pattern Recognition, Automated Gases Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.

PloS one Jun 24, 2025
Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the techniq...
Microscopy Generative Adversarial Networks Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.

PloS one Jun 24, 2025
Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a significant global threat to women's health. Accurately segmenting cervical tumours in MR images remains a challenging task due to the complex charac...
Magnetic Resonance Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms Female Uterine Cervical Neoplasms Humans Machine Learning
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