MRI Brain Tumor Detection Using Boosted Crossbred Random Forests and Chimp Optimization Algorithm Based Convolutional Neural Networks | Zendy

Omar Abdullah | Zendy; Murshed Farhan Alnaggar | Zendy; Basavaraj N Jagadale | Zendy; Swaroopa H. Narayan | Zendy; M Bondy | Zendy; M Scheurer | Zendy; B Malmer | Zendy; J Sloan | Zendy; F Davis | Zendy; D Yasova | Zendy; C Kruchko | Zendy; B Mccarthy | Zendy; P Rajaraman | Zendy; J Schwartzbaum | Zendy; S Sadetzki | Zendy; B Schlehofer | Zendy; T Tihan | Zendy; J Wiemels | Zendy; M Wrensch | Zendy; P Buffler | Zendy; M Mabray | Zendy; R Barajas | Zendy; S Cha | Zendy; N Gordillo | Zendy; E Montseny | Zendy; P Sobrevilla | Zendy; A Wadhwa | Zendy; A Bhardwaj | Zendy; V Verma | Zendy; G Mohan | Zendy; M Subashini | Zendy; J Ser | Zendy; V Albuquerque | Zendy; M Ghaffari | Zendy; A Sowmya | Zendy; R Oliver | Zendy; P Chahal | Zendy; S Kaur | Zendy; S Pandey | Zendy; Goel | Zendy; A Minz | Zendy; C Mahobiya | Zendy; T Devi | Zendy; S Maheswaran | Zendy; A Gokulalakshmi | Zendy; S Karthik | Zendy; N Karthikeyan | Zendy; M Kavitha | Zendy; H Ahmed | Zendy; B Youssef | Zendy; A Elkorany | Zendy; A Saleeb | Zendy; F Samie | Zendy; S Pereira | Zendy; A Pinto | Zendy; V Alves | Zendy; C Silva | Zendy; L Zhao | Zendy; K Jia | Zendy; Y Zhou | Zendy; Z Li | Zendy; H Zhu | Zendy; C Chen | Zendy; M Gao | Zendy; K Xu | Zendy; J Xu | Zendy; A Pashaei | Zendy; H Sajedi | Zendy; N Jazayeri | Zendy; M Thaha | Zendy; K Kumar | Zendy; B Murugan | Zendy; S Dhanasekeran | Zendy; P Vijayakarthick | Zendy; A Selvi | Zendy; A Anaraki | Zendy; M Ayati | Zendy; F Kazemi | Zendy; M Sajjad | Zendy; S Khan | Zendy; K Muhammad | Zendy; W Wu | Zendy; A Ullah | Zendy; S Baik | Zendy; E Irmak | Zendy; N Ghassemi | Zendy; A Shoeibi | Zendy; M Rouhani | Zendy; H Kaur | Zendy; J Rani | Zendy; D Gupta | Zendy; M Ahmad | Zendy; Y Mishina | Zendy; R Murata | Zendy; Y Yamauchi | Zendy; T Yamashita | Zendy; H Fujiyoshi | Zendy; A Mathew | Zendy; P Anto | Zendy; N Thara | Zendy; M Khishe | Zendy; M Mosavi | Zendy

Open Access

MRI Brain Tumor Detection Using Boosted Crossbred Random Forests and Chimp Optimization Algorithm Based Convolutional Neural Networks

Author(s) -

Omar Abdullah,

Murshed Farhan Alnaggar,

Basavaraj N Jagadale,

Swaroopa H. Narayan,

M Bondy,

M Scheurer,

B Malmer,

J Sloan,

F Davis,

D Yasova,

C Kruchko,

B Mccarthy,

P Rajaraman,

J Schwartzbaum,

S Sadetzki,

B Schlehofer,

T Tihan,

J Wiemels,

M Wrensch,

P Buffler,

M Mabray,

R Barajas,

S Cha,

N Gordillo,

E Montseny,

P Sobrevilla,

A Wadhwa,

A Bhardwaj,

V Verma,

G Mohan,

M Subashini,

K Muhammad,

S Khan,

J Ser,

V Albuquerque,

M Ghaffari,

A Sowmya,

R Oliver,

P Chahal,

S Kaur,

S Pandey,

Goel,

A Minz,

C Mahobiya,

K Kumar,

T Devi,

S Maheswaran,

A Gokulalakshmi,

S Karthik,

N Karthikeyan,

M Kavitha,

H Ahmed,

B Youssef,

A Elkorany,

A Saleeb,

F Samie,

S Pereira,

A Pinto,

V Alves,

C Silva,

L Zhao,

K Jia,

Y Zhou,

Z Li,

H Zhu,

C Chen,

M Gao,

K Xu,

J Xu,

A Pashaei,

H Sajedi,

N Jazayeri,

M Thaha,

K Kumar,

B Murugan,

S Dhanasekeran,

P Vijayakarthick,

A Selvi,

A Anaraki,

M Ayati,

F Kazemi,

M Sajjad,

S Khan,

K Muhammad,

W Wu,

A Ullah,

S Baik,

E Irmak,

N Ghassemi,

A Shoeibi,

M Rouhani,

H Kaur,

J Rani,

D Gupta,

M Ahmad,

Y Mishina,

R Murata,

Y Yamauchi,

T Yamashita,

H Fujiyoshi,

A Mathew,

P Anto,

N Thara,

M Khishe,

M Mosavi

Publication year - 2022

Publication title -

international journal of intelligent engineering and systems

Language(s) - English

Resource type - Journals

eISSN - 2185-310X

pISSN - 1882-708X

DOI - 10.22266/ijies2022.0430.04

Subject(s) - computer science , artificial intelligence , convolutional neural network , random forest , pattern recognition (psychology) , segmentation , brain tumor , algorithm , medicine , pathology

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