AIMC Topic: Image Processing, Computer-Assisted

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A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images.

Scientific reports Jul 1, 2025
Ultrasound guidance images are widely used for high intensity focused ultrasound (HIFU) therapy; however, the speckles, acoustic shadows, and signal attenuation in ultrasound guidance images hinder the observation of the images by radiologists and ma...
Uterine Neoplasms Leiomyoma High-Intensity Focused Ultrasound Ablation Ultrasonography Image Processing, Computer-Assisted Humans Female Algorithms
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network.

Scientific reports Jul 1, 2025
Cattle health monitoring and management systems are essential for farmers and veterinarians, as traditional manual health checks can be time-consuming and labor-intensive. A critical aspect of such systems is accurate cattle identification, which ena...
Color Animal Identification Systems Cattle Image Processing, Computer-Assisted Algorithms Animals
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An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model.

Scientific reports Jul 1, 2025
The expansion rate of medical data during the past ten years has rapidly expanded due to the vast fields. The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficien...
Fuzzy Logic Wavelet Analysis Deep Learning Image Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Female Machine Learning Breast Neoplasms
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Enhancing chronic wound assessment through agreement analysis and tissue segmentation.

Scientific reports Jul 1, 2025
Accurate monitoring of chronic wound progression is crucial for assessing healing dynamics. However, the current manual process of tissue segmentation and quantification, which is an indicator of the healing progress, is time-consuming and subject to...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Wound Healing Deep Learning Humans Chronic Disease Wounds and Injuries
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Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Scientific reports Jul 1, 2025
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segmentation generally requires manually annotated segmentations, demanding extensive time and resources from radiologists. We propose a weakly supervised ap...
Child Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Brain Neoplasms Magnetic Resonance Imaging Supervised Machine Learning Glioma Humans Machine Learning Algorithms
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Automatic melanoma detection using an optimized five-stream convolutional neural network.

Scientific reports Jul 1, 2025
Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing dramatically worldwide. Its early and accurate diagnosis is crucial for effective treatment. However, automatic melanoma detection has several signifi...
Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Convolutional Neural Networks Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Algorithms Humans Melanoma
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Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.

Scientific reports Jul 1, 2025
Infertility is a global issue, and approximately 50% of cases are due to male factors, with defective spermatogenesis being the main one. For studies of spermatogenesis, evaluating the seminiferous tubule stage is essential. However, current evaluati...
Animals Male Deep Learning Reproducibility of Results Spermatogenesis Seminiferous Tubules Mice Microscopy Image Processing, Computer-Assisted
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Enhancing occluded and standard bird object recognition using fuzzy-based ensembled computer vision approach with convolutional neural network.

Scientific reports Jul 1, 2025
Classifying bird species is essential for ecological study and biodiversity protection, currently, conventional approaches are frequently laborious and susceptible to mistakes. Convolutional Neural Networks (CNNs) provide a more reliable option for f...
Neural Networks, Computer Pattern Recognition, Automated Convolutional Neural Networks Image Processing, Computer-Assisted Fuzzy Logic Animals Birds
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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.

Scientific reports Jul 1, 2025
Accurate identification of Mpox is essential for timely diagnosis and treatment. However, traditional image-based diagnostic methods often struggle with challenges such as body hair obscuring skin lesions and complicating accurate assessment. To addr...
Hair Hair Removal Measles Skin Artifacts Humans Deep Learning Image Processing, Computer-Assisted Dermoscopy
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Plant leaf disease detection using vision transformers for precision agriculture.

Scientific reports Jul 1, 2025
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs)...
Plant Leaves Crops, Agricultural Plant Diseases Image Processing, Computer-Assisted Agriculture Neural Networks, Computer
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