LEADER 04514nam 22006135 450 001 9910483252203321 005 20200630220234.0 010 $a981-13-8798-2 024 7 $a10.1007/978-981-13-8798-2 035 $a(CKB)4100000009451815 035 $a(DE-He213)978-981-13-8798-2 035 $a(MiAaPQ)EBC5887790 035 $a(PPN)243766475 035 $a(EXLCZ)994100000009451815 100 $a20190828d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision and Machine Intelligence in Medical Image Analysis $eInternational Symposium, ISCMM 2019 /$fedited by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 150 p. 62 illus., 31 illus. in color.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v992 311 $a981-13-8797-4 327 $aChapter 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. 330 $aThis book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26?27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v992 606 $aComputational intelligence 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aBiomedical engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aBiomedical engineering. 615 14$aComputational Intelligence. 615 24$aSignal, Image and Speech Processing. 615 24$aBiomedical Engineering and Bioengineering. 676 $a006.3 702 $aGupta$b Mousumi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKonar$b Debanjan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhattacharyya$b Siddhartha$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBiswas$b Sambhunath$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483252203321 996 $aComputer Vision and Machine Intelligence in Medical Image Analysis$92852360 997 $aUNINA