[go: up one dir, main page]

Fatima et al., 2020 - Google Patents

State-of-the-art traditional to the machine-and deep-learning-based skull stripping techniques, models, and algorithms

Fatima et al., 2020

View PDF
Document ID
9381270419134014090
Author
Fatima A
Shahid A
Raza B
Madni T
Janjua U
Publication year
Publication venue
Journal of Digital Imaging

External Links

Snippet

Several neuroimaging processing applications consider skull stripping as a crucial pre- processing step. Due to complex anatomical brain structure and intensity variations in brain magnetic resonance imaging (MRI), an appropriate skull stripping is an important part. The …
Continue reading at pmc.ncbi.nlm.nih.gov (PDF) (other versions)

Classifications

    • 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
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • 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
    • 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
    • G06T2207/10104Positron emission tomography [PET]
    • 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
    • G06T2207/30048Heart; Cardiac
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20092Interactive image processing based on input by user
    • G06T2207/20101Interactive definition of point of interest, landmark or seed
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20076Probabilistic image processing
    • 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
    • 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
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING

Similar Documents

Publication Publication Date Title
Fatima et al. State-of-the-art traditional to the machine-and deep-learning-based skull stripping techniques, models, and algorithms
Saba et al. Image enhancement and segmentation techniques for detection of knee joint diseases: A survey
Kalavathi et al. Methods on skull stripping of MRI head scan images—a review
Despotović et al. MRI segmentation of the human brain: challenges, methods, and applications
Gordillo et al. State of the art survey on MRI brain tumor segmentation
Mansoor et al. A generic approach to pathological lung segmentation
Roy et al. A review on automated brain tumor detection and segmentation from MRI of brain
Yazdani et al. Image segmentation methods and applications in MRI brain images
Gondal et al. A review of fully automated techniques for brain tumor detection from MR images
Göçeri Fully automated liver segmentation using Sobolev gradient‐based level set evolution
Balan et al. Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI
Göçeri et al. Fully automated liver segmentation from SPIR image series
Chiverton et al. Statistical morphological skull stripping of adult and infant MRI data
Stefanescu et al. Non-rigid atlas to subject registration with pathologies for conformal brain radiotherapy
Jalab et al. Magnetic resonance imaging segmentation techniques of brain tumors: A review
Roy et al. International journal of advanced research in computer science and software engineering
Jiang et al. Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms
Huynh et al. Fully automated MR liver volumetry using watershed segmentation coupled with active contouring
Zhan et al. Automatic method for white matter lesion segmentation based on T1‐fluid‐attenuated inversion recovery images
Ramasamy et al. Segmentation of brain tumor using deep learning methods: a review
Qiu et al. Rotationally resliced 3D prostate TRUS segmentation using convex optimization with shape priors
Zawish et al. Brain tumor segmentation in MRI images using Chan-Vese technique in MATLAB
Meera et al. A Review On Automatic Detection of Brain Tumor Using Computer Aided Diagnosis System Through MRI.
Garg et al. Spinal cord MRI segmentation techniques and algorithms: A survey
Al-Saeed et al. Efficient Computer Aided Diagnosis System for Hepatic Tumors Using Computed Tomography Scans.