Nothing Special   »   [go: up one dir, main page]

Liu et al., 2017 - Google Patents

Detecting cancer metastases on gigapixel pathology images

Liu et al., 2017

View PDF
Document ID
1530261731414739934
Author
Liu Y
Gadepalli K
Norouzi M
Dahl G
Kohlberger T
Boyko A
Venugopalan S
Timofeev A
Nelson P
Corrado G
Hipp J
Peng L
Stumpe M
Publication year
Publication venue
arXiv preprint arXiv:1703.02442

External Links

Snippet

Each year, the treatment decisions for more than 230,000 breast cancer patients in the US hinge on whether the cancer has metastasized away from the breast. Metastasis detection is currently performed by pathologists reviewing large expanses of biological tissues. This …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • 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
    • G06T2207/30—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
    • G06K9/62—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
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G06K9/00147—Matching; Classification
    • 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
    • G06K9/6217—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
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color 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
    • G06K9/36—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

Similar Documents

Publication Publication Date Title
Liu et al. Detecting cancer metastases on gigapixel pathology images
Silva-Rodríguez et al. Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
Kumar et al. A dataset and a technique for generalized nuclear segmentation for computational pathology
Reis et al. Automated classification of breast cancer stroma maturity from histological images
Fraz et al. FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer
Lee et al. A robust and effective approach towards accurate metastasis detection and pn-stage classification in breast cancer
Xu et al. Colorectal cancer detection based on deep learning
Dundar et al. Computerized classification of intraductal breast lesions using histopathological images
Borhani et al. Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
Nofallah et al. Machine learning techniques for mitoses classification
Kowal et al. Breast cancer nuclei segmentation and classification based on a deep learning approach
Ström et al. Pathologist-level grading of prostate biopsies with artificial intelligence
Isaksson et al. Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
Urdal et al. Prognostic prediction of histopathological images by local binary patterns and RUSBoost
Narayanan et al. DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Oswal et al. An Entropy‐Based Automated Cell Nuclei Segmentation and Quantification: Application in Analysis of Wound Healing Process
Teverovskiy et al. Improved prediction of prostate cancer recurrence based on an automated tissue image analysis system
Saranyaraj et al. Early prediction of breast cancer based on the classification of HER‐2 and ER biomarkers using deep neural network
Alomari et al. Iterative randomized irregular circular algorithm for proliferation rate estimation in brain tumor Ki-67 histology images
Shao et al. Improving prostate cancer classification in H&E tissue micro arrays using Ki67 and P63 histopathology
Mocan et al. Automatic Detection of Tumor Cells in Microscopic Images of Unstained Blood using Convolutional Neural Networks
Sun et al. Detection of breast tumour tissue regions in histopathological images using convolutional neural networks
Zhang et al. A seeding-searching-ensemble method for gland segmentation in H&E-stained images
Trullo et al. Image translation based nuclei segmentation for immunohistochemistry images
Bapure Automated image analysis for nuclear morphometry using h&e and feulgen stains in prostate biopsies