AIMC Topic: Image Processing, Computer-Assisted

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Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation.

Scientific reports May 7, 2025
The rapid evolution of deep learning has dramatically enhanced the field of medical image segmentation, leading to the development of models with unprecedented accuracy in analyzing complex medical images. Deep learning-based segmentation holds signi...
Magnetic Resonance Imaging Multimodal Imaging Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans
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Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

Journal of biomedical optics May 7, 2025
SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate diagnosis to limit irreversible brain damage. However, many advanced imaging modalities (computerized tomography, magnetic resonance imaging) remain ina...
Deep Learning Image Processing, Computer-Assisted Chickens Stroke Feasibility Studies Humans Image Interpretation, Computer-Assisted Animals Phantoms, Imaging
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Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer.

JCO precision oncology May 7, 2025
PURPOSE: Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High level of TILs is associated with better outcomes for patients. We aim to automatically quantify TILs without any nuclei annotation and further constr...
Lymphocytes, Tumor-Infiltrating Aged, 80 and over Prognosis Immunohistochemistry Colorectal Neoplasms Female Humans Middle Aged Male Aged Artificial Intelligence Cohort Studies Image Processing, Computer-Assisted
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Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have limited eff...
Algorithms Lung Ultrasonography Image Processing, Computer-Assisted Autoencoder Generative Adversarial Networks Humans Neural Networks, Computer
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BentRay-NeRF: Bent-Ray Neural Radiance Fields for Robust Speed-of-Sound Imaging in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Ultrasound computed tomography (USCT) is a promising technique for breast cancer detection because of its quantitative imaging capability of the speed of sound (SOS) of soft tissues and the fact that malignant breast lesions often have a higher SOS c...
Algorithms Tomography, X-Ray Computed Female Humans Neural Networks, Computer Breast Phantoms, Imaging Breast Neoplasms Ultrasonography Image Processing, Computer-Assisted
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Identification of medicinal plant parts using depth-wise separable convolutional neural network.

PloS one May 7, 2025
Identifying relevant plant parts is one of the most significant tasks in the pharmaceutical industry. Correct identification minimizes the risk of mis-identification, which might have unfavorable effects, and it ensures that plants are used medicinal...
Plants, Medicinal Image Processing, Computer-Assisted Plant Leaves Algorithms Deep Learning Neural Networks, Computer Convolutional Neural Networks
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Semi-supervised segmentation on medical images with pseudo label calibration and neural process.

Neural networks : the official journal of the International Neural Network Society May 6, 2025
Pseudo supervision has demonstrated empirical success in semi-supervised segmentation tasks by effectively leveraging unlabeled data, but it unavoidably encounters the problem caused by noisy pseudo labels. Existing methods against noisy pseudo label...
Image Processing, Computer-Assisted Supervised Machine Learning Calibration Humans Neural Networks, Computer Algorithms
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PET image nonuniformity texture features for metastasis risk prediction in osteosarcoma.

Nuclear medicine communications May 6, 2025
OBJECTIVE: PET image analysis provides tumor heterogeneity data related to neoadjuvant chemotherapy response (NACR) and metastatic risk in osteosarcoma. Ki-67 expression is used to predict metastasis. The accuracy of prediction models with image quan...
Humans Fluorodeoxyglucose F18 Risk Ki-67 Antigen Positron-Emission Tomography Neoplasm Metastasis Middle Aged Image Processing, Computer-Assisted Young Adult Adolescent Osteosarcoma Retrospective Studies Adult Child Bone Neoplasms Female Male
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

Biomedical engineering online May 6, 2025
BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, cataracts, and refractive errors. However, traditional clinical measurement methods are often time-consumi...
Humans Deep Learning Image Processing, Computer-Assisted Microscopy, Acoustic Anterior Eye Segment
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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices.

Scientific reports May 6, 2025
Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study a...
Rhizome Drugs, Chinese Herbal Acorus Algorithms Deep Learning Image Processing, Computer-Assisted Medicine, Chinese Traditional
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