[go: up one dir, main page]

Demetriou et al., 2023 - Google Patents

AI-enhanced digital pathology and radiogenomics in precision oncology

Demetriou et al., 2023

Document ID
6548816058292823591
Author
Demetriou D
Hull R
Kgoebane-Maseko M
Lockhat Z
Dlamini Z
Publication year
Publication venue
Artificial Intelligence and Precision Oncology: Bridging Cancer Research and Clinical Decision Support

External Links

Snippet

Precision medicine is the personalization of medicine based on the molecular or genetic profiling of an individual and can lead to improved diagnosis, prognosis, and treatment. Personalized medicine requires key features to be extracted from large data sets, normally …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers

Similar Documents

Publication Publication Date Title
Chen et al. Radiomics in precision medicine for gastric cancer: opportunities and challenges
Sun et al. Multiparametric MRI and radiomics in prostate cancer: a review
Chen et al. Development and clinical application of radiomics in lung cancer
Pesapane et al. Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation?
Sala et al. Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging
Bai et al. Imaging genomics in cancer research: limitations and promises
Neri et al. Radiomics and liquid biopsy in oncology: the holons of systems medicine
JP6106259B2 (en) Clinical workstation integrating medical imaging and biopsy data and method of using the same
Brancato et al. The relationship between radiomics and pathomics in glioblastoma patients: preliminary results from a cross-scale association study
Yin et al. Research trends of artificial intelligence in pancreatic cancer: a bibliometric analysis
Fan et al. Subregional radiomics analysis for the detection of the EGFR mutation on thoracic spinal metastases from lung cancer
Demetriou et al. AI-enhanced digital pathology and radiogenomics in precision oncology
Tselikas et al. Role of image-guided biopsy and radiomics in the age of precision medicine
Liu et al. Imaging genomics for accurate diagnosis and treatment of tumors: A cutting edge overview
Yang et al. PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer
Tang et al. Positron emission tomography/magnetic resonance imaging radiomics in predicting lung adenocarcinoma and squamous cell carcinoma
Wang et al. A narrative review of radiomics and deep learning advances in neuroblastoma: updates and challenges
Glogauer et al. The use of radiomic features to predict human papillomavirus (HPV) status in head and neck tumors: a review
Wang et al. A stacked multimodality model based on functional MRI features and deep learning radiomics for predicting the early response to radiotherapy in nasopharyngeal carcinoma
Huang et al. Radiomics in rectal cancer: current status of use and advances in research
Zhang et al. AI in spotting high-risk characteristics of medical imaging and molecular pathology
Kumar et al. The evolving landscape: Role of artificial intelligence in cancer detection
US20110124947A1 (en) Method for integrating large scale biological data with imaging
Chen et al. Research on application of radiomics in glioma: a bibliometric and visual analysis
Belfiore et al. radiomic analysis and liquid biopsy in preoperative CT of NSCLC: an explorative experience