[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Mahmoud et al., 2020 - Google Patents

Machine-learning-based functional microcirculation analysis

Mahmoud et al., 2020

View PDF
Document ID
1112444792705487266
Author
Mahmoud O
Janssen G
El-Sakka M
Publication year
Publication venue
Proceedings of the AAAI Conference on Artificial Intelligence

External Links

Snippet

Abstract Analysis of microcirculation is an important clinical and research task. Functional analysis of the microcirculation allows researchers to understand how blood flowing in a tissues' smallest vessels affects disease progression, organ function, and overall health …
Continue reading at aaai.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general

Similar Documents

Publication Publication Date Title
Ouyang et al. Video-based AI for beat-to-beat assessment of cardiac function
CN109886933B (en) Medical image recognition method and device and storage medium
CN111493935B (en) Artificial intelligence-based automatic prediction and identification method and system for echocardiogram
CN113781440B (en) Ultrasonic video focus detection method and device
CN109997200A (en) Stroke diagnosis and method for prediction of prognosis and system
CN111612756B (en) Coronary artery specificity calcification detection method and device
JP2020011042A (en) Method and system for identification of cerebrovascular abnormalities
CN113436185B (en) Liver vein blood vessel three-dimensional structure characteristic quantitative analysis method, device, computer equipment and storage medium
Zhao et al. Attention residual convolution neural network based on U-net (AttentionResU-Net) for retina vessel segmentation
Zhang et al. Blood vessel segmentation in fundus images based on improved loss function
Mahmoud et al. Machine-learning-based functional microcirculation analysis
KR102586853B1 (en) Acute ischemic stroke diagnosis apparatus and method using deep-learning model based on 3-d cnn
US11704803B2 (en) Methods and systems using video-based machine learning for beat-to-beat assessment of cardiac function
Kolarik et al. Detecting the absence of lung sliding in ultrasound videos using 3d convolutional neural networks
Chen et al. Spatio-temporal multi-task network cascade for accurate assessment of cardiac CT perfusion
US20230078532A1 (en) Cerebral hematoma volume analysis
CN114581425B (en) Myocardial segment defect image processing method based on deep neural network
Akella et al. A novel hybrid model for automatic diabetic retinopathy grading and multi-lesion recognition method based on SRCNN & YOLOv3
Ouyang et al. Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models
Wu et al. Mscan: Multi-scale channel attention for fundus retinal vessel segmentation
CN115249248A (en) Retinal artery and vein blood vessel direct identification method and system based on fundus image
CN113283518A (en) Multi-modal brain network feature selection method based on clustering
US11915829B2 (en) Perihematomal edema analysis in CT images
Kaya et al. Branch and end points detection in cerebral vessels images using deep learning object detection techniques
CN116206759B (en) Mental health assessment device, equipment and storage medium based on image analysis