Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210247515> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4210247515 endingPage "280" @default.
- W4210247515 startingPage "265" @default.
- W4210247515 abstract "Healthcare Sector is the core of a nation's development, and a fit body can make great contributions towards the development of a nation. Since taking care of the brain will almost result in maintaining the health of the human body, so this chapter will focus on one of the important concerns in the healthcare sector i.e., brain tumor. The brain tumor is deadly for everyone, but it specifically affects children or patients with genetic neurological disease. The symptoms of the brain tumor vary as per the physiques of a patient which causes the delay in the diagnosis of the tumor. The fatality of these brain illnesses depends on the grades of brain cancer and some of the other factors which will be further discussed in this chapter along with these grades of a brain tumor in detail. Furthermore, there will be a discussion about various challenges that may arise during the classification of types of brain tumor. There are many automatic or semi-automatic conducts for sleuthing brain tumor, so the focus will be on the best methods in each mode for segmentation and detection of brain tumor. Treatment of brain cancer does not lead to the prolonged existence of patients. This chapter will also provide the survival rate of patients and these survival rates will be based on the different types of tumor. This chapter is an attempt to summarize all necessary information which needs to be further explored for a brain tumor as well as trust in IoHT and machine learning regarding brain cancer." @default.
- W4210247515 created "2022-02-08" @default.
- W4210247515 creator A5007107453 @default.
- W4210247515 creator A5024505925 @default.
- W4210247515 creator A5048966932 @default.
- W4210247515 creator A5056740413 @default.
- W4210247515 date "2022-01-27" @default.
- W4210247515 modified "2023-10-17" @default.
- W4210247515 title "Perspective‐Based Studies of Trust in IoHT and Machine Learning‐Brain Cancer" @default.
- W4210247515 cites W2050056063 @default.
- W4210247515 cites W2107863647 @default.
- W4210247515 cites W3009963727 @default.
- W4210247515 cites W3022755622 @default.
- W4210247515 cites W3029262414 @default.
- W4210247515 cites W3086473620 @default.
- W4210247515 cites W3105078060 @default.
- W4210247515 cites W3176358037 @default.
- W4210247515 doi "https://doi.org/10.1002/9781119792468.ch12" @default.
- W4210247515 hasPublicationYear "2022" @default.
- W4210247515 type Work @default.
- W4210247515 citedByCount "0" @default.
- W4210247515 crossrefType "other" @default.
- W4210247515 hasAuthorship W4210247515A5007107453 @default.
- W4210247515 hasAuthorship W4210247515A5024505925 @default.
- W4210247515 hasAuthorship W4210247515A5048966932 @default.
- W4210247515 hasAuthorship W4210247515A5056740413 @default.
- W4210247515 hasConcept C107130276 @default.
- W4210247515 hasConcept C121608353 @default.
- W4210247515 hasConcept C126322002 @default.
- W4210247515 hasConcept C12713177 @default.
- W4210247515 hasConcept C142724271 @default.
- W4210247515 hasConcept C154945302 @default.
- W4210247515 hasConcept C15744967 @default.
- W4210247515 hasConcept C160735492 @default.
- W4210247515 hasConcept C169760540 @default.
- W4210247515 hasConcept C17744445 @default.
- W4210247515 hasConcept C177713679 @default.
- W4210247515 hasConcept C187316915 @default.
- W4210247515 hasConcept C199539241 @default.
- W4210247515 hasConcept C2779130545 @default.
- W4210247515 hasConcept C2779134260 @default.
- W4210247515 hasConcept C2991673738 @default.
- W4210247515 hasConcept C2994463257 @default.
- W4210247515 hasConcept C41008148 @default.
- W4210247515 hasConcept C71924100 @default.
- W4210247515 hasConceptScore W4210247515C107130276 @default.
- W4210247515 hasConceptScore W4210247515C121608353 @default.
- W4210247515 hasConceptScore W4210247515C126322002 @default.
- W4210247515 hasConceptScore W4210247515C12713177 @default.
- W4210247515 hasConceptScore W4210247515C142724271 @default.
- W4210247515 hasConceptScore W4210247515C154945302 @default.
- W4210247515 hasConceptScore W4210247515C15744967 @default.
- W4210247515 hasConceptScore W4210247515C160735492 @default.
- W4210247515 hasConceptScore W4210247515C169760540 @default.
- W4210247515 hasConceptScore W4210247515C17744445 @default.
- W4210247515 hasConceptScore W4210247515C177713679 @default.
- W4210247515 hasConceptScore W4210247515C187316915 @default.
- W4210247515 hasConceptScore W4210247515C199539241 @default.
- W4210247515 hasConceptScore W4210247515C2779130545 @default.
- W4210247515 hasConceptScore W4210247515C2779134260 @default.
- W4210247515 hasConceptScore W4210247515C2991673738 @default.
- W4210247515 hasConceptScore W4210247515C2994463257 @default.
- W4210247515 hasConceptScore W4210247515C41008148 @default.
- W4210247515 hasConceptScore W4210247515C71924100 @default.
- W4210247515 hasLocation W42102475151 @default.
- W4210247515 hasOpenAccess W4210247515 @default.
- W4210247515 hasPrimaryLocation W42102475151 @default.
- W4210247515 hasRelatedWork W2095322754 @default.
- W4210247515 hasRelatedWork W2098170879 @default.
- W4210247515 hasRelatedWork W2352744453 @default.
- W4210247515 hasRelatedWork W2372223950 @default.
- W4210247515 hasRelatedWork W2387535906 @default.
- W4210247515 hasRelatedWork W2605852498 @default.
- W4210247515 hasRelatedWork W2748952813 @default.
- W4210247515 hasRelatedWork W2785548318 @default.
- W4210247515 hasRelatedWork W2899084033 @default.
- W4210247515 hasRelatedWork W4250032403 @default.
- W4210247515 isParatext "false" @default.
- W4210247515 isRetracted "false" @default.
- W4210247515 workType "other" @default.