Artificial intelligence on medical data : proceedings of International Symposium, ISCMM 2021 / / Mousumi Gupta [and three others], editors

• Pubblicazione: Singapore : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (474 pages)
• Disciplina: 610.285
• Soggetto topico: Computer vision in medicine; Diagnostic imaging; Artificial Intelligence; Diagnostic Imaging - methods
• Soggetto genere / forma: Congress.
• Persona (resp. second.): GuptaMousumi
• Nota di contenuto: 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.
• Titolo autorizzato: Artificial Intelligence on Medical Data
• ISBN: 981-19-0151-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910627275803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in computational vision and biomechanics ; ; v. 37.