Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Glob...
Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning
About this item
Full title
Author / Creator
Publisher
한국인터넷정보학회
Journal title
Language
English
Formats
Publication information
Publisher
한국인터넷정보학회
Subjects
More information
Scope and Contents
Contents
Gliomas are the most common malignant brain tumor and cause the most deaths. Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience. Manual brain tumor segmentation outcomes by different radiologists for the same patient may differ. Thus, more robust, and dependable met...
Alternative Titles
Full title
Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_10386445
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_10386445
Other Identifiers
ISSN
1976-7277
E-ISSN
1976-7277
DOI
10.3837/tiis.2024.01.007
