東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Explainable machine learning for mul...

Hossain, M. Shamim.

FindBook

Google Book

Amazon

博客來

Explainable machine learning for multimedia based healthcare applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Explainable machine learning for multimedia based healthcare applications/ edited by M. Shamim Hossain, Utku Kose, Deepak Gupta.
其他作者:	Hossain, M. Shamim.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiv, 233 p. :ill., digital ;24 cm.
內容註:	Foreword -- Preface -- Acknowledgement -- Table of Contents -- Chapter 1: -- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM -- Chapter 2: -- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects -- Chapter 3: -- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence -- Chapter 4: -- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI -- Chapter 5: -- Explainable Machine Learning in Healthcare -- Chapter 6: -- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images -- Chapter 7: -- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI -- Chapter 8: -- A Brief Review of Explainable Artificial Intelligence Reviews and Methods -- Chapter 9: -- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical -- Chapter 10: -- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research -- Chapter 11: -- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics -- Chapter 12: -- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-3-031-38036-5
ISBN:	9783031380365

Explainable machine learning for multimedia based healthcare applications
Explainable machine learning for multimedia based healthcare applications[electronic resource] /edited by M. Shamim Hossain, Utku Kose, Deepak Gupta. - Cham :Springer International Publishing :2023. - xiv, 233 p. :ill., digital ;24 cm.

Foreword -- Preface -- Acknowledgement -- Table of Contents -- Chapter 1: -- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM -- Chapter 2: -- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects -- Chapter 3: -- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence -- Chapter 4: -- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI -- Chapter 5: -- Explainable Machine Learning in Healthcare -- Chapter 6: -- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images -- Chapter 7: -- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI -- Chapter 8: -- A Brief Review of Explainable Artificial Intelligence Reviews and Methods -- Chapter 9: -- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical -- Chapter 10: -- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research -- Chapter 11: -- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics -- Chapter 12: -- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.

ISBN: 9783031380365

Standard No.: 10.1007/978-3-031-38036-5doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / E97 2023

Dewey Class. No.: 610.28563

Explainable machine learning for multimedia based healthcare applications
LDR:03094nmm a2200325 a 4500 001 2334713
003 DE-He213
005 20230908065348.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031380365 $q (electronic bk.)
020 $a 9783031380358 $q (paper)
024 7 $a 10.1007/978-3-031-38036-5 $2 doi
035 $a 978-3-031-38036-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78 $b E97 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b E96 2023
245 0 0 $a Explainable machine learning for multimedia based healthcare applications $h [electronic resource] / $c edited by M. Shamim Hossain, Utku Kose, Deepak Gupta.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiv, 233 p. : $b ill., digital ; $c 24 cm.
505 0 $a Foreword -- Preface -- Acknowledgement -- Table of Contents -- Chapter 1: -- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM -- Chapter 2: -- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects -- Chapter 3: -- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence -- Chapter 4: -- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI -- Chapter 5: -- Explainable Machine Learning in Healthcare -- Chapter 6: -- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images -- Chapter 7: -- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI -- Chapter 8: -- A Brief Review of Explainable Artificial Intelligence Reviews and Methods -- Chapter 9: -- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical -- Chapter 10: -- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research -- Chapter 11: -- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics -- Chapter 12: -- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.
520 $a This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Multimedia Information Systems. $3 892521
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Hossain, M. Shamim. $3 3446131
700 1 $a Kose, Utku. $3 3486174
700 1 $a Gupta, Deepak. $3 1913717
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-38036-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)