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

Hameed et al., 2015 - Google Patents

Performance evaluation of maximal separation techniques in immunohistochemical scoring of tissue images

Hameed et al., 2015

View PDF
Document ID
16575155996558727105
Author
Hameed K
Banumathi A
Ulaganathan G
Publication year
Publication venue
Micron

External Links

Snippet

This paper presents an automatic scoring method for p53 immunostained tissue images of oral cancer that consist of tissue image segmentation, splitting of clustered nuclei, feature extraction and classification. The tissue images are segmented using entropy thresholding …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/0014Pre-processing, e.g. image segmentation ; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

Similar Documents

Publication Publication Date Title
Zhuang et al. An RDAU-NET model for lesion segmentation in breast ultrasound images
Veta et al. Automatic nuclei segmentation in H&E stained breast cancer histopathology images
Bergmeir et al. Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework
Li et al. Glioma segmentation with a unified algorithm in multimodal MRI images
Shahzad et al. Robust Method for Semantic Segmentation of Whole‐Slide Blood Cell Microscopic Images
Mouelhi et al. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images
Gupta et al. PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma
Beevi et al. Automatic segmentation of cell nuclei using Krill Herd optimization based multi-thresholding and localized active contour model
Xu et al. Using transfer learning on whole slide images to predict tumor mutational burden in bladder cancer patients
Alegro et al. Automating cell detection and classification in human brain fluorescent microscopy images using dictionary learning and sparse coding
Hameed et al. Performance evaluation of maximal separation techniques in immunohistochemical scoring of tissue images
John et al. A novel approach for detection and delineation of cell nuclei using feature similarity index measure
Raj et al. Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning
Zhang et al. Cytoplasm segmentation on cervical cell images using graph cut-based approach
McKenna et al. Immunohistochemical analysis of breast tissue microarray images using contextual classifiers
Zhang et al. Deep learning for image analysis in kidney care
Hameed et al. Immunohistochemical analysis of oral cancer tissue images using support vector machine
US20230096719A1 (en) Scalable and high precision context-guided segmentation of histological structures including ducts/glands and lumen, cluster of ducts/glands, and individual nuclei in whole slide images of tissue samples from spatial multi-parameter cellular and sub-cellular imaging platforms
Aziz et al. Enhancing automatic classification of hepatocellular carcinoma images through image masking, tissue changes and trabecular features
US20180025490A1 (en) Multi-pass adaptive voting for nuclei detection in histopathological images
Czipczer et al. Automatic liver segmentation on CT images combining region-based techniques and convolutional features
Parvaze et al. Extraction of multiple cellular objects in HEp-2 images using LS segmentation
Zhang et al. Automated segmentation of abnormal cervical cells using global and local graph cuts
Guo et al. An image processing pipeline to detect and segment nuclei in muscle fiber microscopic images
El-Nakeeb et al. Computer-Aided Breast Cancer Diagnosis Using Deep Learning: Malignancy Detection and HER2 Scoring