東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Soft computing = biomedical and rela...

Phuong, Nguyen Hoang.

Linked to FindBook

Google Book

Amazon

博客來

Soft computing = biomedical and related applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft computing/ edited by Nguyen Hoang Phuong, Vladik Kreinovich.
Reminder of title:	biomedical and related applications /
other author:	Phuong, Nguyen Hoang.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	ix, 325 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Biomedical Applications of Computational Intelligence Techniques -- Bilattice CADIAG-II: Theory and Experimental Results -- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification -- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation -- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation -- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients -- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis -- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks -- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing -- Imbalance in Learning Chest X-ray Images for COVID-19 Detection -- Deep Learning based COVID-19 Diagnosis by Joint Classiﬁcation and Segmentation -- Part II: General Computational Intelligence Techniques and Their Applications -- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.
Contained By:	Springer Nature eBook
Subject:	Soft computing. -
Online resource:	https://doi.org/10.1007/978-3-030-76620-7
ISBN:	9783030766207

Soft computing = biomedical and related applications /
Soft computingbiomedical and related applications /[electronic resource] :edited by Nguyen Hoang Phuong, Vladik Kreinovich. - Cham :Springer International Publishing :2021. - ix, 325 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9811860-949X ;. - Studies in computational intelligence ;v.981..

Part I: Biomedical Applications of Computational Intelligence Techniques -- Bilattice CADIAG-II: Theory and Experimental Results -- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification -- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation -- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation -- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients -- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis -- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks -- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing -- Imbalance in Learning Chest X-ray Images for COVID-19 Detection -- Deep Learning based COVID-19 Diagnosis by Joint Classiﬁcation and Segmentation -- Part II: General Computational Intelligence Techniques and Their Applications -- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.

This book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications--and to further develop this important research direction.

ISBN: 9783030766207

Standard No.: 10.1007/978-3-030-76620-7doiSubjects--Topical Terms:

563033
Soft computing.

LC Class. No.: QA76.9.S63 / S648 2021

Dewey Class. No.: 006.3

Soft computing = biomedical and related applications /
LDR:03239nmm a2200337 a 4500 001 2244730
003 DE-He213
005 20210622083010.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030766207 $q (electronic bk.)
020 $a 9783030766191 $q (paper)
024 7 $a 10.1007/978-3-030-76620-7 $2 doi
035 $a 978-3-030-76620-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.S63 $b S648 2021
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 QA76.9.S63 $b S681 2021
245 0 0 $a Soft computing $h [electronic resource] : $b biomedical and related applications / $c edited by Nguyen Hoang Phuong, Vladik Kreinovich.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a ix, 325 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.981
505 0 $a Part I: Biomedical Applications of Computational Intelligence Techniques -- Bilattice CADIAG-II: Theory and Experimental Results -- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification -- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation -- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation -- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients -- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis -- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks -- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing -- Imbalance in Learning Chest X-ray Images for COVID-19 Detection -- Deep Learning based COVID-19 Diagnosis by Joint Classiﬁcation and Segmentation -- Part II: General Computational Intelligence Techniques and Their Applications -- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.
520 $a This book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications--and to further develop this important research direction.
650 0 $a Soft computing. $3 563033
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Engineering Mathematics. $3 3301900
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Phuong, Nguyen Hoang. $3 3505873
700 1 $a Kreinovich, Vladik. $3 1965595
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v.981. $3 3505874
856 4 0 $u https://doi.org/10.1007/978-3-030-76620-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)