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Computer vision and machine intellig...

ISCMM ((2019 :)

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Computer vision and machine intelligence in medical image analysis = international symposium, ISCMM 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision and machine intelligence in medical image analysis/ edited by Mousumi Gupta ... [et al.].
其他題名:	international symposium, ISCMM 2019 /
其他題名:	ISCMM 2019
其他作者:	Gupta, Mousumi.
團體作者:	ISCMM
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xii, 150 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Diagnostic imaging - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-13-8798-2
ISBN:	9789811387982

Computer vision and machine intelligence in medical image analysis = international 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 ;v.992..

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

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

879904
Diagnostic imaging
--Congresses.

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

Dewey Class. No.: 616.0754

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