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020 _a9789811387982
024 7 _a10.1007/978-981-13-8798-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR859.7 .A78
_b2020 EB
245 0 0 _aComputer Vision and Machine Intelligence in Medical Image Analysis :
_bInternational Symposium, ISCMM 2019
_cedited by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas
250 _aFirst edition
264 1 _aSingapore
_bSpringer Singapore
_c2020
300 _a1 recurso en línea (XII, 150 páginas)
_b62 ilustraciones, 31 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 1 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v992
490 0 _aTechnologies and Robotics (Springer-42732)
505 0 _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.
520 3 _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.
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
_xCongresos y asambleas
650 7 _2embne
_9167079
_aSistemas de imágenes en medicina
_xCongresos y asambleas
650 7 _2embne
_aDiagnóstico por imagen
_xCongresos y asambleas
_9139972
700 1 _aGupta, Mousumi
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKonar, Debanjan
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBhattacharyya, Siddhartha,
_d1975-
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
_9100498
700 1 _aBiswas, Sambhunath
_eeditor
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811387975
776 0 8 _iPrinted edition:
_z9789811387999
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-8798-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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