AIMC Topic: Image Processing, Computer-Assisted

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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

PloS one May 27, 2025
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth l...
Humans Algorithms Microscopy, Fluorescence Supervised Machine Learning Blood Vessels Databases, Factual Image Processing, Computer-Assisted
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.

PloS one May 27, 2025
In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. A feature dictionary was intr...
Image Processing, Computer-Assisted Algorithms Convolutional Neural Networks Humans Neural Networks, Computer
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Efficient few-shot medical image segmentation via self-supervised variational autoencoder.

Medical image analysis May 26, 2025
Few-shot medical image segmentation typically uses a joint model for registration and segmentation. The registration model aligns a labeled atlas with unlabeled images to form initial masks, which are then refined by the segmentation model. However, ...
Image Interpretation, Computer-Assisted Algorithms Autoencoder Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning Humans
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Image guided construction of a common coordinate framework for spatial transcriptome data.

Scientific reports May 24, 2025
Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in tissue samples, enabling a molecular level understanding of tissue architecture. The acquisition entails dissecting and profiling micron-thick tissue s...
Animals Gene Expression Profiling Humans Algorithms Image Processing, Computer-Assisted Transcriptome Deep Learning
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Towards better text image machine translation with multimodal codebook and multi-stage training.

Neural networks : the official journal of the International Neural Network Society May 23, 2025
As a widely-used machine translation task, text image machine translation (TIMT) aims to translate the source texts embedded in the image to target translations. However, studies in this aspect face two challenges: (1) constructed in a cascaded manne...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Translating
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Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Neural networks : the official journal of the International Neural Network Society May 23, 2025
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...
Humans Neural Networks, Computer Clothing User-Computer Interface Image Processing, Computer-Assisted Pattern Recognition, Automated Virtual Reality
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Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast.

Medical image analysis May 23, 2025
Magnetic Resonance Imaging (MRI) produces images with different contrasts, providing complementary information for clinical diagnoses and research. However, acquiring a complete set of MRI sequences can be challenging due to limitations such as lengt...
Machine Learning Humans Algorithms Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques.

Scientific reports May 23, 2025
Semantic segmentation involves an imminent part in the investigation of medical images, particularly in the domain of microvascular decompression, where publicly available datasets are scarce, and expert annotation is demanding. In response to this c...
Microvascular Decompression Surgery Semantics Microvessels Algorithms Deep Learning Humans Image Processing, Computer-Assisted Bayes Theorem
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

PLoS computational biology May 23, 2025
Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. These methods for analyzing biological and medical data have capitalized on advances from the broad...
Cell Division Cell Tracking Computational Biology Microscopy Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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Decoding split-frequency representation for cross-scale tracking.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target's appearance. However, these reconst...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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