Singh et al., 2023 - Google Patents
Analysis of application of digital image analysis in histopathology quality controlSingh et al., 2023
View HTML- Document ID
- 11252856170161168435
- Author
- Singh R
- Yadav S
- Kapoor N
- Publication year
- Publication venue
- Journal of Pathology Informatics
External Links
Snippet
Introduction A correct histopathological diagnosis is dependent on an array of technical variables. The quality and completeness of a histological section on a slide is extremely prudent for correct interpretation. However, this is mostly done manually and depends …
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- 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
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220156930A1 (en) | Cancer risk stratification based on histopathological tissue slide analysis | |
JP6654634B2 (en) | Methods, systems and devices for quantitatively analyzing heterogeneous biomarker distributions | |
Brügmann et al. | Digital image analysis of membrane connectivity is a robust measure of HER2 immunostains | |
US10565430B2 (en) | Histology recognition to automatically score and quantify cancer grades and individual user digital whole histological imaging device | |
Chlipala et al. | An image analysis solution for quantification and determination of immunohistochemistry staining reproducibility | |
JPWO2008108059A1 (en) | Breast cancer pathological image diagnosis support system, breast cancer pathological image diagnosis support method, breast cancer pathological image diagnosis support program, and recording medium recording breast cancer pathological image diagnosis support program | |
Metzger et al. | Development of multigene expression signature maps at the protein level from digitized immunohistochemistry slides | |
CN111406294B (en) | Automatically generating rules for laboratory instruments | |
Nelissen et al. | SlideToolkit: an assistive toolset for the histological quantification of whole slide images | |
Webster et al. | Quantifying histological features of cancer biospecimens for biobanking quality assurance using automated morphometric pattern recognition image analysis algorithms | |
US20230351599A1 (en) | Systems and methods for processing electronic images of slides for a digital pathology workflow | |
Li et al. | Prediction of deep myometrial infiltration, clinical risk category, histological type, and Lymphovascular Space Invasion in Women with Endometrial Cancer based on clinical and T2-Weighted MRI Radiomic features | |
WO2022272014A1 (en) | Computational techniques for three-dimensional reconstruction and multi-labeling of serially sectioned tissue | |
WO2017171720A1 (en) | Digital image analysis of inflammatory cells and mediators of inflammation | |
Chan et al. | Virtual multiplex immunohistochemistry: application on cell block of effusion and aspiration cytology | |
Jiang et al. | Radiomics-based analysis in the prediction of occult lymph node metastases in patients with oral cancer: a systematic review | |
Dolled-Filhart et al. | Automated analysis of tissue microarrays | |
Singh et al. | Analysis of application of digital image analysis in histopathology quality control | |
Ștefan et al. | Quantitative MRI of Pancreatic Cystic Lesions: A New Diagnostic Approach | |
Liro et al. | Ultrasound measurement of tumor-free distance from the serosal surface as the alternative to measuring the depth of myometrial invasion in predicting lymph node metastases in endometrial cancer | |
Gustavson et al. | Tissue microarrays: leaping the gap between research and clinical adoption | |
Narayanan et al. | Unmasking the tissue microecology of ductal carcinoma in situ with deep learning | |
KR20160088289A (en) | Disease-screening method, module and computer program, using samples taken from an individual | |
Markopoulos et al. | Intraoperative Flow Cytometry Upon and Beyond the Cell Cycle: A Case Study of the Characterization of a Bone Metastasis | |
Knijn et al. | Guidelines for reporting histopathology studies |