語系:
繁體中文
English
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
Advanced machine learning approaches...
~
Nayak, Janmenjoy.
FindBook
Google Book
Amazon
博客來
Advanced machine learning approaches in cancer prognosis = challenges and applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advanced machine learning approaches in cancer prognosis/ edited by Janmenjoy Nayak ... [et al.].
其他題名:
challenges and applications /
其他作者:
Nayak, Janmenjoy.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xx, 454 p. :ill., digital ;24 cm.
內容註:
Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms.
Contained By:
Springer Nature eBook
標題:
Cancer - Prognosis -
電子資源:
https://doi.org/10.1007/978-3-030-71975-3
ISBN:
9783030719753
Advanced machine learning approaches in cancer prognosis = challenges and applications /
Advanced machine learning approaches in cancer prognosis
challenges and applications /[electronic resource] :edited by Janmenjoy Nayak ... [et al.]. - Cham :Springer International Publishing :2021. - xx, 454 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.2041868-4394 ;. - Intelligent systems reference library ;v.204..
Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
ISBN: 9783030719753
Standard No.: 10.1007/978-3-030-71975-3doiSubjects--Topical Terms:
3495983
Cancer
--Prognosis
LC Class. No.: RC262 / .A38 2021
Dewey Class. No.: 616.994075
Advanced machine learning approaches in cancer prognosis = challenges and applications /
LDR
:02671nmm a2200337 a 4500
001
2240759
003
DE-He213
005
20210529064850.0
006
m d
007
cr nn 008maaau
008
211111s2021 sz s 0 eng d
020
$a
9783030719753
$q
(electronic bk.)
020
$a
9783030719746
$q
(paper)
024
7
$a
10.1007/978-3-030-71975-3
$2
doi
035
$a
978-3-030-71975-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC262
$b
.A38 2021
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
616.994075
$2
23
090
$a
RC262
$b
.A244 2021
245
0 0
$a
Advanced machine learning approaches in cancer prognosis
$h
[electronic resource] :
$b
challenges and applications /
$c
edited by Janmenjoy Nayak ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xx, 454 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.204
505
0
$a
Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms.
520
$a
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
650
0
$a
Cancer
$x
Prognosis
$x
Technological innovations.
$3
3495983
650
0
$a
Machine learning.
$3
533906
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
900591
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Biomedicine, general.
$3
3446035
650
2 4
$a
Machine Learning.
$3
3382522
700
1
$a
Nayak, Janmenjoy.
$3
3412402
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Intelligent systems reference library ;
$v
v.204.
$3
3495982
856
4 0
$u
https://doi.org/10.1007/978-3-030-71975-3
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9402644
電子資源
11.線上閱覽_V
電子書
EB RC262 .A38 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入