AIMC Topic: Image Processing, Computer-Assisted

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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Scientific reports Jul 16, 2025
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...
Saccharomyces cerevisiae Saccharomycetales Image Cytometry Support Vector Machine Flow Cytometry Microscopy Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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New hybrid features extracted from US images for breast cancer classification.

Scientific reports Jul 16, 2025
Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). The novelty of this paper lies in computing original hybrid features (HF) from textural and shape features of BC integ...
Female Breast Neoplasms Image Processing, Computer-Assisted Machine Learning Algorithms Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Scientific reports Jul 16, 2025
Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic challenges due to its reliance on expert assessment and the subtlety of small lesions. Although deep learning has shown promise, its effectiveness is oft...
Humans Diabetic Retinopathy Algorithms Deep Learning Image Processing, Computer-Assisted
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Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.

Scientific reports Jul 16, 2025
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare...
Liver Portal Vein Hepatic Veins Contrast Media Magnetic Resonance Imaging Gadolinium DTPA Adult Humans Male Deep Learning Female Middle Aged Image Processing, Computer-Assisted Aged
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ComptoNet: a Compton-map guided deep learning framework for multi-scatter estimation in multi-source stationary CT.

Physics in medicine and biology Jul 16, 2025
Multi-source stationary computed tomography (MSS-CT) offers significant advantages in medical and industrial applications due to its gantryless scan architecture and capability of simultaneous multi-source emission. However, the lack of anti-scatter ...
Phantoms, Imaging Image Processing, Computer-Assisted Tomography, X-Ray Computed Monte Carlo Method Deep Learning Scattering, Radiation
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HVUNet: A hybrid vision transformer-based UNet for accurate detection and localization in histopathology images.

Computers in biology and medicine Jul 15, 2025
Precise identification of object of interest (OoI) in histopathology images plays a vital role in cancer diagnosis and prognosis. Despite advances in digital pathology, detecting specific cellular structures within these images remains a significant ...
Databases, Factual Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Algorithms
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t...
Image Processing, Computer-Assisted Humans Jaundice, Neonatal Algorithms Infant, Newborn Machine Learning Extreme Learning Machines Female Deep Learning
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Scientific reports Jul 15, 2025
Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. Multi-feature ...
Image Processing, Computer-Assisted Positron-Emission Tomography Algorithms Brain Neoplasms Humans Deep Learning Machine Learning
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Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers.

Scientific reports Jul 15, 2025
Ultrasound imaging plays an important role in fetal growth and maternal-fetal health evaluation, but due to the complicated anatomy of the fetus and image quality fluctuation, its interpretation is quite challenging. Although deep learning include Co...
Female Ultrasonography, Prenatal Convolutional Neural Networks Image Processing, Computer-Assisted Deep Learning Humans Neural Networks, Computer Pregnancy Image Interpretation, Computer-Assisted Fetus
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Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports Jul 15, 2025
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr...
Image Processing, Computer-Assisted Support Vector Machine Deep Learning Humans Visual Perception Female Breast Neoplasms
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