國立高雄大學圖資館 |

Language: English

Back to Search results for [ author_sort:"gupta, mousumi." ]

Computer vision and machine intellig...

(1998 :)

Computer vision and machine intelligence in medical image analysisinternational symposium, ISCMM 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer vision and machine intelligence in medical image analysisedited by Mousumi Gupta ... [et al.].
Reminder of title:	international symposium, ISCMM 2019 /
remainder title:	ISCMM 2019
other author:	Gupta, Mousumi.
corporate name:
Published:	Singapore :Springer Singapore :2020.
Description:	xii, 150 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.
Online resource:	https://doi.org/10.1007/978-981-13-8798-2
ISBN:	9789811387982$q(electronic bk.)

Computer vision and machine intelligence in medical image analysisinternational symposium, ISCMM 2019 /
Computer vision and machine intelligence in medical image analysisinternational symposium, ISCMM 2019 /[electronic resource] :ISCMM 2019edited by Mousumi Gupta ... [et al.]. - Singapore :Springer Singapore :2020. - xii, 150 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v.9922194-5357 ;. - Advances in intelligent systems and computing ;176..

Chapter 1. A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks -- Chapter 2. Identification of Neural Correlates of Face Recognition Using Machine Learning Approach -- Chapter 3. An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring -- Chapter 4. Fuzzy Inference System for Efficient Lung Cancer Detection -- Chapter 5. Medical Image Compression Scheme Using Number Theoretic Transform -- Chapter 6. The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm -- Chapter 7. Classification Algorithms to Predict Heart Diseases-A Survey -- Chapter 8. A Hybrid Filtering Based Retinal Blood Vessel Segmentation Algorithm -- Chapter 9. Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance -- Chapter 10. Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function Based Level Set Method -- Chapter 11. Macroscopic Reconstruction for Histopathology Images A Survey -- Chapter 12. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques -- Chapter 13. Medical Diagnosis Under Uncertain Environment Through Bipolar-valued Fuzzy Sets -- Chapter 14. Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics.

This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

ISBN: 9789811387982$q(electronic bk.)

Standard No.: 10.1007/978-981-13-8798-2doiSubjects--Topical Terms:

387225
Diagnostic imaging
--Congresses.

LC Class. No.: R857.O6 / I73 2019

Dewey Class. No.: 616.0754

Computer vision and machine intelligence in medical image analysisinternational symposium, ISCMM 2019 /
LDR:03094nmm a2200349 a 4500 001 593201
003 DE-He213
005 20200630220234.0
006 m d
007 cr nn 008maaau
008 210727s2020 si s 0 eng d
020 $a 9789811387982$q(electronic bk.)
020 $a 9789811387975$q(paper)
024 7 $a 10.1007/978-981-13-8798-2 $2 doi
035 $a 978-981-13-8798-2
040 $a GP $c GP
041 0 $a eng
050 4 $a R857.O6 $b I73 2019
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 616.0754 $2 23
090 $a R857.O6 $b I77 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computer vision and machine intelligence in medical image analysis $h [electronic resource] : $b international symposium, ISCMM 2019 / $c edited by Mousumi Gupta ... [et al.].
246 3 $a ISCMM 2019
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xii, 150 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.992
505 0 $a Chapter 1. A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks -- Chapter 2. Identification of Neural Correlates of Face Recognition Using Machine Learning Approach -- Chapter 3. An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring -- Chapter 4. Fuzzy Inference System for Efficient Lung Cancer Detection -- Chapter 5. Medical Image Compression Scheme Using Number Theoretic Transform -- Chapter 6. The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm -- Chapter 7. Classification Algorithms to Predict Heart Diseases-A Survey -- Chapter 8. A Hybrid Filtering Based Retinal Blood Vessel Segmentation Algorithm -- Chapter 9. Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance -- Chapter 10. Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function Based Level Set Method -- Chapter 11. Macroscopic Reconstruction for Histopathology Images A Survey -- Chapter 12. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques -- Chapter 13. Medical Diagnosis Under Uncertain Environment Through Bipolar-valued Fuzzy Sets -- Chapter 14. Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics.
520 $a This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26-27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
650 0 $a Diagnostic imaging $v Congresses. $3 387225
650 0 $a Imaging systems in medicine $v Periodicals. $3 452181
650 0 $a Computer vision $3 253837
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
700 1 $a Gupta, Mousumi. $3 884493
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v 176. $3 567349
856 4 0 $u https://doi.org/10.1007/978-981-13-8798-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)