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

Qian et al., 2022 - Google Patents

[Retracted] 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images

Qian et al., 2022

View PDF @Full View
Document ID
5252452920254073047
Author
Qian Z
Xie L
Xu Y
Publication year
Publication venue
Emergency Medicine International

External Links

Snippet

Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
JP7438230B2 (en) Determining model parameters using a predictive model
US12067725B2 (en) Image region localization method, image region localization apparatus, and medical image processing device
Zhang et al. Review of breast cancer pathologigcal image processing
KR102506092B1 (en) Tensor field mapping
US12007455B2 (en) Tensor field mapping with magnetostatic constraint
KR102622283B1 (en) Maxwell Parallel Imaging
Qian et al. [Retracted] 3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images
Kong et al. Automatic tissue image segmentation based on image processing and deep learning
An et al. Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network‐Adaptive Dropout Depth Calculation
Wang et al. Deep transfer learning-based multi-modal digital twins for enhancement and diagnostic analysis of brain mri image
US20230204700A1 (en) Sparse representation of measurements
Li et al. BrainK for structural image processing: creating electrical models of the human head
Li et al. Fast geometric distortion correction using a deep neural network: Implementation for the 1 Tesla MRI‐Linac system
Feng et al. [Retracted] Research on Segmentation of Brain Tumor in MRI Image Based on Convolutional Neural Network
US11614509B2 (en) Maxwell parallel imaging
Liu et al. CT synthesis from CBCT using a sequence-aware contrastive generative network
De Santi et al. Left ventricle detection from cardiac magnetic resonance relaxometry images using visual transformer
Khasawneh et al. [Retracted] Early Detection of Medical Image Analysis by Using Machine Learning Method
Li et al. SOMA: Subject‐, object‐, and modality‐adapted precision atlas approach for automatic anatomy recognition and delineation in medical images
Chen et al. MR–CT image fusion method of intracranial tumors based on Res2Net
Zhi et al. Masked autoencoders with generalizable self-distillation for skin lesion segmentation
He et al. Research on computer aided diagnosis based on artificial intelligence
US20240369662A1 (en) Maxwell parallel imaging
Sreeja et al. Synthetic Computed Tomography and Brain Radiation Therapy: Where are we today?