[go: up one dir, main page]

Palraj et al., 2021 - Google Patents

Predicting the abnormality of brain and compute the cognitive power of human using deep learning techniques using functional magnetic resonance images

Palraj et al., 2021

Document ID
16013584660487629978
Author
Palraj K
Kalaivani V
Publication year
Publication venue
Soft Computing

External Links

Snippet

In modern times, digital medical images play a significant progression in clinical diagnosis to treat the populace earlier to hoard their lives. Magnetic resonance imaging (MRI) is one of the most advanced medical imaging modalities that facilitate scanning various parts of the …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • G06F19/34—Computer-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
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • 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
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Jia et al. Brain tumor identification and classification of MRI images using deep learning techniques
Valcarcel et al. MIMoSA: an automated method for intermodal segmentation analysis of multiple sclerosis brain lesions
Tyagi et al. Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Yang et al. Diagnosis of Parkinson’s disease based on 3D ResNet: The frontal lobe is crucial
Agnello et al. Unsupervised tissue classification of brain MR images for voxel‐based morphometry analysis
Mehmood et al. Early diagnosis of alzheimer’s disease based on convolutional neural networks
CN119295473B (en) A multimodal dynamic structure-function multi-layer brain network computing method and terminal
Jamalullah et al. Leveraging brain MRI for biomedical Alzheimer’s disease diagnosis using enhanced manta ray foraging optimization based deep learning
Renukadevi et al. Brain Image Classification Using Time Frequency Extraction with Histogram Intensity Similarity.
Heenaye-Mamode Khan et al. Detection of Alzheimer’s disease using pre-trained deep learning models through transfer learning: a review
Pallawi et al. Study of Alzheimer’s disease brain impairment and methods for its early diagnosis: a comprehensive survey
Koc et al. Autism spectrum disorder detection by hybrid convolutional recurrent neural networks from structural and resting state functional MRI images
Alsadhan Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models
Zhuo et al. Identifying aMCI with functional connectivity network characteristics based on subtle AAL atlas
Palraj et al. Predicting the abnormality of brain and compute the cognitive power of human using deep learning techniques using functional magnetic resonance images
Sherin et al. Computer-aided diagnosis system for alzheimer’s disease using positron emission tomography images
Sotero et al. Improving fMRI-based autism spectrum disorder classification with random walks-informed feature extraction and selection
Alarjani et al. fMRI-based Alzheimer’s disease detection via functional connectivity analysis: a systematic review
Shah et al. A Bibliography of multiple sclerosis lesions detection methods using brain MRIs
Dardouri An efficient method for early Alzheimer’s disease detection based on MRI images using deep convolutional neural networks
Tounsi et al. A comprehensive review on biomedical image classification using deep learning models
Mabrouk et al. 3D reconstruction of structural magnetic resonance neuroimaging based on computer aided detection
Abd Hamid et al. Incorporating attention mechanism in enhancing classification of alzheimer’s disease
Sarma et al. Deep Learning-Based Corpus Callosum Segmentation from Brain Images: A Review
Mir et al. Smart approaches for diagnosis of brain disorders using artificial intelligence