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Artificial Intelligence on Medical Data Proceedings of International Symposium, ISCMM 2021
Title
Artificial Intelligence on Medical Data [electronic resource] : Proceedings of International Symposium, ISCMM 2021 / edited by Mousumi Gupta, Sujata Ghatak, Amlan Gupta, Abir Lal Mukherjee.
ISBN
9789811901515
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (XII, 484 p.) 262 illus., 194 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. 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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
February 22, 2023
Series
Lecture Notes in Computational Vision and Biomechanics, 37
Contents
Retinal Vessel Segmentation in Fundus Image using Low-Cost Multiple U-Net Architecture
Imaging Radiomic-Driven Framework for Automated Cancer Investigation
Computational image analysis of painful and pain free intervertebral disc
Bio-medical image encryption using the modified chaotic image encryption method
Stability of Feature Selection Algorithms
A Database Application of Monitoring Covid-19 in India
Walking Assistant for Vision Impaired by Using Deep Learning
Detection of Coronavirus in Electron Microscope Imagery using Convolutional Neural Networks
IoT & RFID based Smart Card System Integrated with Healthcare, Electricity, QR and Banking Sectors
Face Mask Recognition Using Modular, Wavelet and Modular-Wavelet PCA
Effective Overview of Different ML Models used for Prediction of COVID -19 Patients
Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID -19
A Study on Various Medical Imaging Modalities and image fusion methods
A Deep Learning Technique For Bi-fold Grading of an Eye Disorder DR-Diabetic Retinopathy
Brain Tumor Detection Using Fine Tuned YOLO Model with Transfer Learning.
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