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

Park et al., 2023 - Google Patents

Segmentation-based tracking of macrophages in 2D+ time microscopy movies inside a living animal

Park et al., 2023

View PDF
Document ID
3560279129022295467
Author
Park S
Sipka T
Krivá Z
Lutfalla G
Nguyen-Chi M
Mikula K
Publication year
Publication venue
Computers in Biology and Medicine

External Links

Snippet

The automated segmentation and tracking of macrophages during their migration are challenging tasks due to their dynamically changing shapes and motions. This paper proposes a new algorithm to achieve automatic cell tracking in time-lapse microscopy …
Continue reading at www-kmadg.svf.stuba.sk (PDF) (other versions)

Classifications

    • 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
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical 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
    • G06T2207/20212—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
    • G06T2207/10—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20156—Automatic seed setting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • 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
    • G06T2207/20076—Probabilistic image processing
    • 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
    • G06T2207/20036—Morphological image processing
    • 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Prentašić et al. Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion
Rodrigues et al. Segmentation of optic disc and blood vessels in retinal images using wavelets, mathematical morphology and Hessian-based multi-scale filtering
Sheng et al. Retinal vessel segmentation using minimum spanning superpixel tree detector
Bernal et al. Towards automatic polyp detection with a polyp appearance model
Haj-Hassan et al. Classifications of multispectral colorectal cancer tissues using convolution neural network
Yin et al. Accurate image analysis of the retina using hessian matrix and binarisation of thresholded entropy with application of texture mapping
Kovács et al. A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction
Bibiloni et al. A survey on curvilinear object segmentation in multiple applications
Mittal et al. Computerized retinal image analysis-a survey
Khan et al. A region growing and local adaptive thresholding-based optic disc detection
Shahin et al. A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score
Belkacem-Boussaid et al. Automatic detection of follicular regions in H&E images using iterative shape index
Nielsen et al. Automatic segmentation of cell nuclei in Feulgen‐stained histological sections of prostate cancer and quantitative evaluation of segmentation results
Park et al. Segmentation-based tracking of macrophages in 2D+ time microscopy movies inside a living animal
Hu et al. LIFE: a generalizable autodidactic pipeline for 3D OCT-A vessel segmentation
Uribe-Valencia et al. Automated Optic Disc region location from fundus images: Using local multi-level thresholding, best channel selection, and an Intensity Profile Model
Zaaboub et al. Optic disc detection and segmentation using saliency mask in retinal fundus images
Sreelatha et al. A survey work on early detection methods of melanoma skin cancer
Su et al. A novel method for dendritic spines detection based on directional morphological filter and shortest path
Cai et al. Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images
Abdelsamea An enhancement neighborhood connected segmentation for 2D-Cellular Image
Rohr et al. Tracking and quantitative analysis of dynamic movements of cells and particles
Shang et al. Adaptive directional region growing segmentation of the hepatic vasculature
Ding et al. Context-aware attention u-net for the segmentation of pores in lamina cribrosa using partial points annotation
Shamekhi et al. A novel multi-scale Hessian based spot enhancement filter for two dimensional gel electrophoresis images