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

Raipuria et al., 2022 - Google Patents

Stain-aglr: Stain agnostic learning for computational histopathology using domain consistency and stain regeneration loss

Raipuria et al., 2022

Document ID
7338574101796351024
Author
Raipuria G
Shrivastava A
Singhal N
Publication year
Publication venue
MICCAI Workshop on Domain Adaptation and Representation Transfer

External Links

Snippet

Stain color variations between Whole Slide Images (WSIs) is a key challenge in the application of Computational Histopathology. Deep learning-based algorithms are susceptible to domain shift and degrade in performance on the WSIs captured from a …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/62Methods 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
    • G06T2207/10Image 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
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking

Similar Documents

Publication Publication Date Title
Sohail et al. Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Veeling et al. Rotation equivariant CNNs for digital pathology
Peikari et al. A cluster-then-label semi-supervised learning approach for pathology image classification
Heinrich et al. Synaptic cleft segmentation in non-isotropic volume electron microscopy of the complete drosophila brain
Shimoda et al. Distinct class-specific saliency maps for weakly supervised semantic segmentation
Wahab et al. Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images
Morelli et al. Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet
Zidan et al. Swincup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer
Matuszewski et al. Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images
Sun et al. An information theoretic approach for attention-driven face forgery detection
Öztürk et al. Cell‐type based semantic segmentation of histopathological images using deep convolutional neural networks
Lahiani et al. Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach
Marini et al. Multi_scale_tools: a python library to exploit multi-scale whole slide images
Tran et al. S5cl: unifying fully-supervised, self-supervised, and semi-supervised learning through hierarchical contrastive learning
Schneider et al. Explaining neural networks by decoding layer activations
Scalbert et al. Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
Hosseini et al. On transferability of histological tissue labels in computational pathology
Raipuria et al. Stain-aglr: Stain agnostic learning for computational histopathology using domain consistency and stain regeneration loss
An et al. Insect recognition based on complementary features from multiple views
Kalbhor et al. CerviCell-detector: An object detection approach for identifying the cancerous cells in pap smear images of cervical cancer
Yan et al. LocMix: local saliency-based data augmentation for image classification
Rauf et al. Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN
Ye et al. A multi-attribute controllable generative model for histopathology image synthesis
McCombe et al. HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks
Sivanarayana et al. Review on the methodologies for image segmentation based on CNN