[go: up one dir, main page]

Mohammed et al., 2020 - Google Patents

Digital medical image segmentation using fuzzy C-means clustering

Mohammed et al., 2020

View PDF
Document ID
10907883108713811710
Author
Mohammed B
Al-Ani M
Publication year
Publication venue
UHD Journal of Science and Technology

External Links

Snippet

In the modern globe, digital medical image processing is a major branch to study in the fields of medical and information technology. Every medical field relies on digital medical imaging in diagnosis for most of their cases. One of the major components of medical image …
Continue reading at journals.uhd.edu.iq (PDF) (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
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • 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
    • G06T2207/10104—Positron emission tomography [PET]
    • 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
    • G06T2207/10116—X-ray image
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • 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
    • 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
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • 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
Lee et al. A review of image segmentation methodologies in medical image
EP2916737B1 (en) System and method for automated detection of lung nodules in medical images
US7876938B2 (en) System and method for whole body landmark detection, segmentation and change quantification in digital images
US8600135B2 (en) System and method for automatically generating sample points from a series of medical images and identifying a significant region
Mohammed et al. Digital medical image segmentation using fuzzy C-means clustering
EP3207521A1 (en) Image analysis method supporting illness development prediction for a neoplasm in a human or animal body
CN105913432A (en) Aorta extracting method and aorta extracting device based on CT sequence image
CA3124400A1 (en) Systems and methods for generating cancer prediction maps from multiparametric magnetic resonance images using deep learning
Sun et al. Intracranial hemorrhage detection by 3D voxel segmentation on brain CT images
CN112116562A (en) Method, device, device and medium for detecting lesions based on lung image data
Hansen et al. Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI
Yang et al. An automated method for accurate vessel segmentation
Khaniabadi et al. Comparative review on traditional and deep learning methods for medical image segmentation
Li et al. BrainK for structural image processing: creating electrical models of the human head
CN116433976A (en) Image processing method, device, equipment and storage medium
Said et al. Comparative study of segmentation techniques for detection of tumors based on MRI brain images
Bhatia et al. A proposed quantitative approach to classify brain MRI
Seeram et al. Image Processing and Analysis
Rao et al. Automatic segmentation based graphical interface for recognition of tomography image analysis of damage cell
Soomro et al. Advanced computational modeling for brain tumor detection: Enhancing segmentation accuracy using ICA-I and ICA-II techniques
Mullan Deep learning and explainable ai in medical image segmentation
Malik Evaluation of automated organ segmentation for total-body PET-CT
Prasad et al. Volumetric tumour detection using improved region grow algorithm
Prakasha et al. Segmentation of brain tumor and challenges facing during registration of brain tumor in magnetic resonance images
El Fahssi Khalid et al. Development of a Medical Image Segmentation Algorithm based on Fuzzy C-Means Clustering