Application of Deep Learning Methods in Healthcare and Medical Science
portes grátis
Application of Deep Learning Methods in Healthcare and Medical Science
Nandal, Neha; Kumar, Malay; Tanwar, Rohit; Kumar, Prashant
Apple Academic Press Inc.
12/2022
304
Dura
Inglês
9781774911204
15 a 20 dias
757
Descrição não disponível.
1. A Review on Detection of Kidney Disease Using Machine and Deep Learning Techniques 2. Deep Learning-Based Computer-Aided Diagnosis System 3. Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods 4. Introduction and Application of SVM in Brain Tumor Segmentation 5. Detection Analysis of COVID-19 Infection Using the Merits of Lungs CT Scan Images with Pre-Trained VGG-16 and 3-Layer CNN Models 6. Deep Learning Methods for Diabetic Retinopathy Detection 7. Study to Distinguish Covid-19 from Normal Cases Using Chest X-Ray Images with Convolution Neural Network 8. Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review 9. Multimodal Image Fusion with Segmentation for Detection of Brain Tumors Using a Deep Learning Algorithm 10. Unrolling the COVID-19 Diagnostic Systems Driven by Deep Learning 11. Generative Model and Its Application in Brain Tumor Segmentation 12. Genomic Sequence Similarity of SARS-CoV2 Nucleotide Sequences Using Biopython: Key for Finding Cure and Vaccines 13. Autonomous Logistic Transportation System for Smart Healthcare System 14. Survey on Cancer Diagnosis from Different Tests and Detection Methods with Machine and Deep Learning 15. A Deep Learning-Based Portable Digital X-Ray Devices for COVID-19 Patients 16. Adoption of Machine Learning and Open Source: Healthcare 4.0 Use Cases
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
SVM;Dl Algorithm;Dl Technique;Machine Learning Algorithms;Dl Model;Data Set;Machine Learning;Brain Tumor;MR Image;Image Fusion;Mammogram Images;Rt PCR Testing;Chest X-ray Image;Validation Accuracy;CT Image;Computer Aided Diagnosis;Spinal Cord;CNN Model;RGB;RNN;Bosom Mri;Dl Method;Cad System;Cancer Disease;AI Engine
1. A Review on Detection of Kidney Disease Using Machine and Deep Learning Techniques 2. Deep Learning-Based Computer-Aided Diagnosis System 3. Extensive Study of WBC Segmentation Using Traditional and Deep Learning Methods 4. Introduction and Application of SVM in Brain Tumor Segmentation 5. Detection Analysis of COVID-19 Infection Using the Merits of Lungs CT Scan Images with Pre-Trained VGG-16 and 3-Layer CNN Models 6. Deep Learning Methods for Diabetic Retinopathy Detection 7. Study to Distinguish Covid-19 from Normal Cases Using Chest X-Ray Images with Convolution Neural Network 8. Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review 9. Multimodal Image Fusion with Segmentation for Detection of Brain Tumors Using a Deep Learning Algorithm 10. Unrolling the COVID-19 Diagnostic Systems Driven by Deep Learning 11. Generative Model and Its Application in Brain Tumor Segmentation 12. Genomic Sequence Similarity of SARS-CoV2 Nucleotide Sequences Using Biopython: Key for Finding Cure and Vaccines 13. Autonomous Logistic Transportation System for Smart Healthcare System 14. Survey on Cancer Diagnosis from Different Tests and Detection Methods with Machine and Deep Learning 15. A Deep Learning-Based Portable Digital X-Ray Devices for COVID-19 Patients 16. Adoption of Machine Learning and Open Source: Healthcare 4.0 Use Cases
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
SVM;Dl Algorithm;Dl Technique;Machine Learning Algorithms;Dl Model;Data Set;Machine Learning;Brain Tumor;MR Image;Image Fusion;Mammogram Images;Rt PCR Testing;Chest X-ray Image;Validation Accuracy;CT Image;Computer Aided Diagnosis;Spinal Cord;CNN Model;RGB;RNN;Bosom Mri;Dl Method;Cad System;Cancer Disease;AI Engine
