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

Reszke et al., 2023 - Google Patents

Machine learning methods in the detection of brain tumors

Reszke et al., 2023

View PDF
Document ID
7256588204386549216
Author
Reszke M
Smaga Å
Publication year
Publication venue
Biometrical Letters

External Links

Snippet

Brain tumor is a very serious disease from which many people die every day. Appropriate early diagnosis is extremely important in treatment. In recent years, machine learning methods have come to the aid of doctors, allowing them to automate the process of brain …
Continue reading at sciendo.com (PDF) (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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • 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
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • 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
    • G06K9/52Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527Scale-space domain transformation, e.g. with wavelet analysis
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • 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
    • 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
    • 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
    • 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
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • 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

Similar Documents

Publication Publication Date Title
Ukwuoma et al. A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Tazin et al. [Retracted] A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network
Novitasari et al. Detection of COVID-19 chest X-ray using support vector machine and convolutional neural network
Jayalakshmi et al. Performance analysis of convolutional neural network (CNN) based cancerous skin lesion detection system
Ukwuoma et al. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Tavana et al. Classification of spinal curvature types using radiography images: deep learning versus classical methods
Kalaivani et al. Detection and classification of skin diseases with ensembles of deep learning networks in medical imaging
Vinod et al. Ensemble Technique for Brain Tumour Patient Survival Prediction
Karacı et al. YoDenBi-NET: YOLO+ DenseNet+ Bi-LSTM-based hybrid deep learning model for brain tumor classification
Karthik et al. Ensemble-based multimodal medical imaging fusion for tumor segmentation
Binol et al. A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification
Chandra et al. Detection of brain tumors from MRI using gaussian RBF kernel based support vector machine
Perkonigg et al. Detecting bone lesions in multiple myeloma patients using transfer learning
Reszke et al. Machine learning methods in the detection of brain tumors
Mizan et al. A comparative study of tuberculosis detection using deep convolutional neural network
Bodapati Enhancing brain tumor diagnosis using a multi-architecture deep convolutional neural network on MRI scans
Pandey et al. Skin cancer classification using non-local means denoising and sparse dictionary learning based CNN
Kukreti et al. Detection and Classification of Brain Tumour Using EfficientNet and Transfer Learning Techniques
Sadeghi et al. A Novel Sep-Unet architecture of convolutional neural networks to improve dermoscopic image segmentation by training parameters reduction
Maqsood et al. Artificial intelligence-based classification of CT images using a Hybrid SpinalZFNet
Rajesh et al. A Deep Learning Approach for Classification of Vitiligo and Scar Images
Harika et al. Classification of Cervical Cancer using ResNet-50
Maloji Optimised ResNet50 for Multi-Class Classification of Brain Tumors
KUNDRA et al. SKIN LESION CLASSIFICATION FOR MELANOMA USING DEEP LEARNING
Giuri et al. CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis