AIMC Topic: Image Processing, Computer-Assisted

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SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.

PloS one May 20, 2025
The fish market is a crucial industry for both domestic economies and the global seafood trade. Accurate fish species classification (FSC) plays a significant role in ensuring sustainability, improving food safety, and optimizing market efficiency. T...
Image Processing, Computer-Assisted Fishes Seafood Algorithms Animals Deep Learning
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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Data Compression Entropy Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Attention
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Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.

Scientific reports May 19, 2025
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailored with low-rank adaptation (LoRA) strategies, in segmenting breast tumors in Automated Breast Ultrasound (ABUS) images. This retrospective study colle...
Algorithms Retrospective Studies Female Humans Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Aged Adult Breast Neoplasms Ultrasonography, Mammary Image Interpretation, Computer-Assisted
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Feasibility study of a general model for synthetic CT generation in MRI-guided extracranial radiotherapy.

Biomedical physics & engineering express May 19, 2025
This study aims to investigate the feasibility of a single general model to synthesize CT images across body sites, thorax, abdomen, and pelvis, to support treatment planning for MRI-only radiotherapy. A total of 157 patients who received MRI-guided ...
Signal-To-Noise Ratio Thorax Radiotherapy, Image-Guided Pelvis Feasibility Studies Radiotherapy Planning, Computer-Assisted Female Male Middle Aged Image Processing, Computer-Assisted Abdomen Magnetic Resonance Imaging Humans Algorithms Tomography, X-Ray Computed
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Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI.

Medical image analysis May 17, 2025
Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volumetric meshes derived from CMR images, which facilitate computational an...
Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
In the field of healthcare, the acquisition and annotation of medical images present significant challenges, resulting in a scarcity of trainable samples. This data limitation hinders the performance of deep learning models, creating bottlenecks in c...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.

Scientific reports May 16, 2025
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning...
Image Processing, Computer-Assisted Early Detection of Cancer Pancreatic Neoplasms Pancreas Female Humans Male Neural Networks, Computer Deep Learning Tomography, X-Ray Computed
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AI-assisted diffuse correlation tomography for identifying breast cancer.

Journal of biomedical optics May 16, 2025
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, whereas its capability to categorize benign and malignant breast lesions has not been extensively validate...
Adult Algorithms Tomography Breast Neoplasms Female Humans Middle Aged Image Processing, Computer-Assisted Artificial Intelligence Aged Breast Image Interpretation, Computer-Assisted
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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network.

Scientific reports May 15, 2025
Minimally invasive surgery involves entering the body through small incisions or natural orifices, using a medical endoscope for observation and clinical procedures. However, traditional endoscopic images often suffer from low texture and uneven illu...
Neural Networks, Computer Algorithms Endoscopy Humans Deep Learning Image Processing, Computer-Assisted
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Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

Scientific reports May 15, 2025
PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morphology of women of their reproductive age, resulting in the development of numerous cysts on the ovaries. Ultrasound imaging typically diagnoses PCOS, whi...
Ovary Ultrasonography Image Processing, Computer-Assisted Polycystic Ovary Syndrome Adult Neural Networks, Computer Deep Learning Algorithms Female Humans
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