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

Zanjani et al., 2018 - Google Patents

Histopathology stain-color normalization using deep generative models

Zanjani et al., 2018

View PDF
Document ID
10920344804207955053
Author
Zanjani F
Zinger S
Bejnordi B
van der Laak J
et al.
Publication year
Publication venue
1st Conference on Medical Imaging with Deep Learning (MIDL 2018)

External Links

Snippet

Performance of designed CAD algorithms for histopathology image analysis is affected by the amount of variations in the samples such as color and intensity of stained images. Stain- color normalization is a well-studied technique for compensating such effects at the input of …
Continue reading at research.tue.nl (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • 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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06T2207/20156Automatic seed setting
    • 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
    • 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
    • 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
    • G06K9/00147Matching; Classification
    • 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
    • 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
    • G06K9/4652Extraction of features or characteristics of the image related to colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications

Similar Documents

Publication Publication Date Title
Zanjani et al. Histopathology stain-color normalization using deep generative models
Zanjani et al. Stain normalization of histopathology images using generative adversarial networks
Joseph et al. Improved multi-classification of breast cancer histopathological images using handcrafted features and deep neural network (dense layer)
Khan et al. A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution
Komura et al. Machine learning approaches for pathologic diagnosis
Vahadane et al. Structure-preserving color normalization and sparse stain separation for histological images
Araújo et al. Classification of breast cancer histology images using convolutional neural networks
Shen et al. Randstainna: Learning stain-agnostic features from histology slides by bridging stain augmentation and normalization
Sethi et al. Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
Pontalba et al. Assessing the impact of color normalization in convolutional neural network-based nuclei segmentation frameworks
Levakov et al. Mapping individual differences across brain network structure to function and behavior with connectome embedding
Shrivastava et al. Self-attentive adversarial stain normalization
US11455724B1 (en) Systems and methods to process electronic images to adjust attributes of the electronic images
Gundersen et al. End-to-end training of deep probabilistic CCA on paired biomedical observations
Sheeba et al. Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things
Voon et al. Evaluating the effectiveness of stain normalization techniques in automated grading of invasive ductal carcinoma histopathological images
Wu et al. Segmentation of HE-stained meningioma pathological images based on pseudo-labels
Hu et al. Automatic detection of melanins and sebums from skin images using a generative adversarial network
Kablan et al. StainSWIN: Vision transformer-based stain normalization for histopathology image analysis
Hiary et al. Segmentation and localisation of whole slide images using unsupervised learning
US20230098732A1 (en) Systems and methods to process electronic images to selectively hide structures and artifacts for digital pathology image review
CA3216960A1 (en) Systems and methods to process electronic images to adjust stains in electronic images
Bueno et al. Colour model analysis for histopathology image processing
Xiong et al. Modeling of human skin by the Use of Deep Learning
Moyes et al. Unsupervised deep learning for stain separation and artifact detection in histopathology images