Samsi et al., 2014 - Google Patents
Automated nuclei clump splitting by combining local concavity orientation and graph partitioningSamsi et al., 2014
View HTML- Document ID
- 11668031268382111115
- Author
- Samsi S
- Trefois C
- Antony P
- Skupin A
- Publication year
- Publication venue
- IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
External Links
Snippet
Automated clump decomposition is essential for single cell based analysis of fluorescent microscopy images. This paper presents a new method for automatically splitting clumps of cell nuclei in fluorescence microscopy images. Nuclei are first segmented using histogram …
- 210000004940 Nucleus 0 title abstract description 57
Classifications
-
- 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
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- G06K9/00147—Matching; Classification
-
- 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
- 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
- G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- 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
- G06T2207/20112—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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chang et al. | Gold-standard and improved framework for sperm head segmentation | |
| US11080830B2 (en) | Systems and methods for segmentation and analysis of 3D images | |
| Theodorakopoulos et al. | Hep-2 cells classification via fusion of morphological and textural features | |
| US20090081775A1 (en) | Microscope system and screening method for drugs, physical therapies and biohazards | |
| US20090034822A1 (en) | Methods and Apparatus for Characterising Cells and Treatments | |
| Zhang et al. | Dendritic spine detection using curvilinear structure detector and LDA classifier | |
| ES3001012T3 (en) | Method for detecting cells that present at least one abnormality in a cytological sample | |
| Saxena et al. | Study of Computerized Segmentation & Classification Techniques: An Application to Histopathological Imagery | |
| Khamael et al. | Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours | |
| Peng et al. | PombeX: robust cell segmentation for fission yeast transillumination images | |
| Muhimmah et al. | Analysis of features to distinguish epithelial cells and inflammatory cells in Pap smear images | |
| Hodneland et al. | Automated detection of tunneling nanotubes in 3D images | |
| Samsi et al. | Automated nuclei clump splitting by combining local concavity orientation and graph partitioning | |
| Yee et al. | An automatic model-based approach for measuring the zona pellucida thickness in day five human blastocysts | |
| Su et al. | Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion | |
| Grisan et al. | Automatic segmentation of chromosomes in Q-band images | |
| Das et al. | Random-forest-based automated cell detection in Knife-Edge scanning Microscope rat Nissl data | |
| Kheirkhah et al. | Histogram non-linear transform for sperm cells image detection enhancement | |
| Kondratiev et al. | A method for automatic tracking of cell nuclei in 2D epifluorescence microscopy image sequences | |
| US20220058371A1 (en) | Classification of cell nuclei | |
| Hasikin et al. | A new region-based adaptive thresholding for sperm motility segmentation | |
| Casalino et al. | Image analysis and classification for high-throughput screening of embryonic stem cells | |
| Mazo et al. | Automatic classification of coating epithelial tissue | |
| Safa'a et al. | Histopathological prostate tissue glands segmentation for automated diagnosis | |
| Tafavogh et al. | Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells |