AIMC Topic: Image Processing, Computer-Assisted
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Development and validation of an improved volumetric breast density estimation model using the ResNet technique.
Biomedical physics & engineering express
Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
Multi-scale interaction and locally enhanced bridging network for medical image segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 22, 2025
Accurate organ segmentation is crucial for precise medical diagnosis. Recent methods in CNNs and Transformers have significantly enhanced automatic medical image segmentation. Their encoders and decoders often rely on simple skip connections, which f...
SNA-SKAN: Unpaired learning for SDOCT speckle noise removal based on self noise assist and kolmogorov-arnold network.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 22, 2025
Optical Coherence Tomography (OCT) will inevitably be contaminated by speckle noise when imaging, resulting in a decrease in the visual quality of images and affecting clinical diagnosis. Existing unsupervised denoising methods often rely on complex ...
MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast.
Computers in biology and medicine
Jul 22, 2025
Unsupervised image-to-image translation, which synthesizes new images from existing ones, has become a prominent research topic in computer vision. This technique is particularly valuable in the magnetic resonance (MR) imaging domain, where acquiring...
High-throughput screening system for immunogenic cell death inducers using artificial intelligence-based real-time image analysis.
Computers in biology and medicine
Jul 22, 2025
Immunogenic cell death (ICD) can enhance the immunogenicity of cold tumors, convert them into immune-responsive hot tumors, and improve the efficacy of cancer immunotherapy. Because ICD inducers cause cell swelling, membrane rupture, and the release ...
Semi-supervised motion flow and myocardial strain estimation in cardiac videos using distance maps and memory networks.
Computers in biology and medicine
Jul 22, 2025
Myocardial strain plays a crucial role in diagnosing heart failure and myocardial infarction. Its computation relies on assessing heart muscle motion throughout the cardiac cycle. This assessment can be performed by following key points on each frame...
ASD-GraphNet: A novel graph learning approach for Autism Spectrum Disorder diagnosis using fMRI data.
Computers in biology and medicine
Jul 21, 2025
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with heterogeneous symptomatology, making accurate diagnosis challenging. Traditional methods rely on subjective behavioral assessments, often overlooking subtle neural biomarke...
Efficient Compression of Mass Spectrometry Images via Contrastive Learning-Based Encoding.
Analytical chemistry
Jul 21, 2025
In this study, we introduce a novel encoding algorithm utilizing contrastive learning to address the substantial data size challenges inherent in mass spectrometry imaging. Our algorithm compresses MSI data into fixed-length vectors, significantly re...
ViT-GCN: a novel hybrid model for accurate pneumonia diagnosis from x-ray images.
Biomedical physics & engineering express
Jul 21, 2025
This study aims to enhance the accuracy of pneumonia diagnosis from x-ray images by developing a model that integrates Vision Transformer (ViT) and Graph Convolutional Networks (GCN) for improved feature extraction and diagnostic performance. The ViT...
Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.
Scientific reports
Jul 19, 2025
Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal cells is a potential means of reducing the graft rejection and post-transplant complications in lung transplantation. Achieving a fully recellularized ...
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