AIMC Topic: Microvessels

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Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images.

IEEE transactions on bio-medical engineering Jun 1, 2025
Microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is a crucial histopathologic prognostic factor associated with cancer recurrence after liver transplantation or hepatectomy. Recently, clinicoradiologic characteristics are combined with ...
Carcinoma, Hepatocellular Magnetic Resonance Imaging Middle Aged Liver Neoplasms Image Interpretation, Computer-Assisted Microvessels Neoplasm Invasiveness Liver Humans Neural Networks, Computer Female Male
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Deep learning based motion correction in ultrasound microvessel imaging approach improves thyroid nodule classification.

Scientific reports May 30, 2025
To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature imaging (qHDMI), we introduced a novel deep learning-based motion correction technique. This approach enables the derivation of more accurate quantita...
Humans Female Ultrasonography Thyroid Nodule Deep Learning Thyroid Gland Artifacts Microvessels Image Processing, Computer-Assisted Motion
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MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.

Liver international : official journal of the International Association for the Study of the Liver Mar 1, 2025
BACKGROUND & AIMS: Microvascular invasion (MVI) is associated with poor prognosis in hepatocellular carcinoma (HCC). Topology may improve the predictive performance and interpretability of deep learning (DL). We aimed to develop and externally valida...
Proportional Hazards Models Microvessels Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Neoplasm Invasiveness Female Middle Aged Risk Factors Deep Learning Aged ROC Curve Male Prognosis Retrospective Studies Humans
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Enhancement of structural and functional photoacoustic imaging based on a reference-inputted convolutional neural network.

Optics express Jan 13, 2025
Photoacoustic microscopy has demonstrated outstanding performance in high-resolution functional imaging. However, in the process of photoacoustic imaging, the photoacoustic signals will be polluted by inevitable background noise. Besides, the image q...
Signal-To-Noise Ratio Phantoms, Imaging Photoacoustic Techniques Ear Neural Networks, Computer Microvessels Image Processing, Computer-Assisted Convolutional Neural Networks Animals Mice Humans
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High-contrast scleroconjunctival microvasculature via deep learning denoising.

Indian journal of ophthalmology Oct 1, 2020
Deep Learning Image Processing, Computer-Assisted Microvessels Humans Neural Networks, Computer
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Fully Convolutional DenseNets for Segmentation of Microvessels in Two-photon Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Segmentation of microvessels measured using two-photon microscopy has been studied in the literature with limited success due to uneven intensities associated with optical imaging and shadowing effects. In this work, we address this problem using a c...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Photons Microscopy Deep Learning Microvessels
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