Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281716568> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W4281716568 endingPage "1651" @default.
- W4281716568 startingPage "1651" @default.
- W4281716568 abstract "Computational <span>models based on deep learning (DL) algorithms have multiple processing layers representing data at multiple levels of abstraction. Deep learning has exploded in popularity in recent years, particularly in medical image processing, medical image analysis, and bioinformatics. As a result, deep learning has effectively modified and strengthened the means of identification, prediction, and diagnosis in several healthcare fields, including pathology, brain tumours, lung cancer, the abdomen, cardiac, and retina. In general, brain tumours are among the most common and aggressive malignant tumour diseases, with a limited life span if diagnosed at a higher grade. After identifying the tumour, brain tumour grading is a crucial step in evaluating a successful treatment strategy. This research aims to propose a cancerous brain tumor detection and classification using deep learning. In this paper, numerous soft computing techniques and a deep learning model to summarise the pathophysiology of brain cancer, imaging modalities for brain cancer, and automated computer-assisted methods for brain cancer characterization is used. In the sense of machine learning and the deep learning model, paper has highlighted the association between brain cancer and other brain disorders such as epilepsy, stroke, Alzheimer's, Parkinson's, and Wilson's disease, leukoaraiosis, and other neurological disorders.</span>" @default.
- W4281716568 created "2022-06-13" @default.
- W4281716568 creator A5034341057 @default.
- W4281716568 creator A5052352119 @default.
- W4281716568 creator A5085174063 @default.
- W4281716568 creator A5089444780 @default.
- W4281716568 date "2022-06-01" @default.
- W4281716568 modified "2023-09-27" @default.
- W4281716568 title "Cancerous brain tumor detection using hybrid deep learning framework" @default.
- W4281716568 doi "https://doi.org/10.11591/ijeecs.v26.i3.pp1651-1661" @default.
- W4281716568 hasPublicationYear "2022" @default.
- W4281716568 type Work @default.
- W4281716568 citedByCount "0" @default.
- W4281716568 crossrefType "journal-article" @default.
- W4281716568 hasAuthorship W4281716568A5034341057 @default.
- W4281716568 hasAuthorship W4281716568A5052352119 @default.
- W4281716568 hasAuthorship W4281716568A5085174063 @default.
- W4281716568 hasAuthorship W4281716568A5089444780 @default.
- W4281716568 hasBestOaLocation W42817165681 @default.
- W4281716568 hasConcept C108583219 @default.
- W4281716568 hasConcept C118552586 @default.
- W4281716568 hasConcept C119857082 @default.
- W4281716568 hasConcept C121608353 @default.
- W4281716568 hasConcept C126322002 @default.
- W4281716568 hasConcept C142724271 @default.
- W4281716568 hasConcept C154945302 @default.
- W4281716568 hasConcept C41008148 @default.
- W4281716568 hasConcept C58693492 @default.
- W4281716568 hasConcept C71924100 @default.
- W4281716568 hasConceptScore W4281716568C108583219 @default.
- W4281716568 hasConceptScore W4281716568C118552586 @default.
- W4281716568 hasConceptScore W4281716568C119857082 @default.
- W4281716568 hasConceptScore W4281716568C121608353 @default.
- W4281716568 hasConceptScore W4281716568C126322002 @default.
- W4281716568 hasConceptScore W4281716568C142724271 @default.
- W4281716568 hasConceptScore W4281716568C154945302 @default.
- W4281716568 hasConceptScore W4281716568C41008148 @default.
- W4281716568 hasConceptScore W4281716568C58693492 @default.
- W4281716568 hasConceptScore W4281716568C71924100 @default.
- W4281716568 hasIssue "3" @default.
- W4281716568 hasLocation W42817165681 @default.
- W4281716568 hasLocation W42817165682 @default.
- W4281716568 hasOpenAccess W4281716568 @default.
- W4281716568 hasPrimaryLocation W42817165681 @default.
- W4281716568 hasRelatedWork W2943474764 @default.
- W4281716568 hasRelatedWork W2964629181 @default.
- W4281716568 hasRelatedWork W3002526821 @default.
- W4281716568 hasRelatedWork W3014300295 @default.
- W4281716568 hasRelatedWork W4223943233 @default.
- W4281716568 hasRelatedWork W4225161397 @default.
- W4281716568 hasRelatedWork W4309045103 @default.
- W4281716568 hasRelatedWork W4312200629 @default.
- W4281716568 hasRelatedWork W4360585206 @default.
- W4281716568 hasRelatedWork W4364306694 @default.
- W4281716568 hasVolume "26" @default.
- W4281716568 isParatext "false" @default.
- W4281716568 isRetracted "false" @default.
- W4281716568 workType "article" @default.