AIMC Topic: Microvessels
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Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.
PloS one
Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer.
The Laryngoscope
Jan 28, 2020
OBJECTIVES/HYPOTHESIS: Machine learning (ML) is a type of artificial intelligence wherein a computer learns patterns and associations between variables to correctly predict outcomes. The objectives of this study were to 1) use a ML platform to identi...
Microvascularity detection and quantification in glioma: a novel deep-learning-based framework.
Laboratory investigation; a journal of technical methods and pathology
Jun 14, 2019
Microvascularity is highly correlated with the grading and subtyping of gliomas, making this one of its most important histological features. Accurate quantitative analysis of microvessels is helpful for the development of a targeted therapy for anti...
Classification of Patients with Coronary Microvascular Dysfunction.
IEEE/ACM transactions on computational biology and bioinformatics
May 2, 2019
While coronary microvascular dysfunction (CMD) is a major cause of ischemia, it is very challenging to diagnose due to lack of CMD-specific screening measures. CMD has been identified as one of the five priority areas of investigation in a 2014 Natio...
Detecting Vascular Age Using the Analysis of Peripheral Pulse.
IEEE transactions on bio-medical engineering
Mar 9, 2018
UNLABELLED: Vascular ageing is known to be accompanied by arterial stiffening and vascular endothelial dysfunction, and represents an independent factor contributing to the development of cardiovascular disease. The microvascular pulse is affected by...
Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks.
BMC bioinformatics
Feb 27, 2018
BACKGROUND: Pathological angiogenesis has been identified in many malignancies as a potential prognostic factor and target for therapy. In most cases, angiogenic analysis is based on the measurement of microvessel density (MVD) detected by immunostai...
Interactive phenotyping of large-scale histology imaging data with HistomicsML.
Scientific reports
Nov 6, 2017
Whole-slide imaging of histologic sections captures tissue microenvironments and cytologic details in expansive high-resolution images. These images can be mined to extract quantitative features that describe tissues, yielding measurements for hundre...
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 ...
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...
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...
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