國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Artificial intelligence in diffusion...

Shehab, Mohammad.

Artificial intelligence in diffusion MRIenhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in diffusion MRIby Mohammad Shehab.
其他題名:	enhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /
作者:	Shehab, Mohammad.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xvii, 157 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Diffusion magnetic resonance imaging.
電子資源:	https://doi.org/10.1007/978-3-030-36083-2
ISBN:	9783030360832$q(electronic bk.)

Artificial intelligence in diffusion MRIenhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /
Shehab, Mohammad.

Artificial intelligence in diffusion MRIenhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /[electronic resource] :by Mohammad Shehab. - Cham :Springer International Publishing :2020. - xvii, 157 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8771860-949X ;. - Studies in computational intelligence ;v. 216..

Introduction Of Diffusion MRI and Cuckoo Search Algorithm -- Background Of Diffusion MRI -- Cuckoo Search Algorithm -- Methodology Of Extracting The Odf Maxima Using Csa.

This book focuses on the use of artificial intelligence to address a specific problem in the brain - the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.

ISBN: 9783030360832$q(electronic bk.)

Standard No.: 10.1007/978-3-030-36083-2doiSubjects--Topical Terms:

502395
Diffusion magnetic resonance imaging.

LC Class. No.: RC78.7.N83 / S544 2020

Dewey Class. No.: 006.3

Artificial intelligence in diffusion MRIenhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /
LDR:02258nmm a2200337 a 4500 001 574179
003 DE-He213
005 20200317163701.0
006 m d
007 cr nn 008maaau
008 201007s2020 sz s 0 eng d
020 $a 9783030360832$q(electronic bk.)
020 $a 9783030360825$q(paper)
024 7 $a 10.1007/978-3-030-36083-2 $2 doi
035 $a 978-3-030-36083-2
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.N83 $b S544 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a RC78.7.N83 $b S542 2020
100 1 $a Shehab, Mohammad. $3 861748
245 1 0 $a Artificial intelligence in diffusion MRI $h [electronic resource] : $b enhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function / $c by Mohammad Shehab.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 157 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.877
505 0 $a Introduction Of Diffusion MRI and Cuckoo Search Algorithm -- Background Of Diffusion MRI -- Cuckoo Search Algorithm -- Methodology Of Extracting The Odf Maxima Using Csa.
520 $a This book focuses on the use of artificial intelligence to address a specific problem in the brain - the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.
650 0 $a Diffusion magnetic resonance imaging. $3 502395
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Artificial Intelligence. $3 212515
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-030-36083-2
950 $a Intelligent Technologies and Robotics (Springer-42732)