Convolutional Neural Networks for Medical Image Processing Applications
portes grátis
Convolutional Neural Networks for Medical Image Processing Applications
Ozturk, Saban
Taylor & Francis Ltd
12/2022
268
Dura
Inglês
9781032104003
15 a 20 dias
Descrição não disponível.
Convolutional neural networks for segmentation in short-axis cine cardiac magnetic resonance imaging: review and considerations. Comparison of Traditional Machine Learning Algorithms and Convolution Neural Networks for Detection of Peripheral Malarial Parasites in Blood Smears. Deep Learning-Based Computer-Aided Diagnosis System for Attention Deficit Hyperactivity Disorder Classification Using Synthetic Data. Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation from CT Images. Convolutional Neural Networks for Medical Image Analysis. Ulcer and Red Lesion Detection in Wireless Capsule Endoscopy Images using CNN. Do More with Less: Deep Learning in Medical Imaging. Automatic Classification of fMRI Signals from Behavioral, Cognitive and Affective Tasks Using Deep Learning. Detection of COVID-19 in Lung CT-Scans using Reconstructed Image Features. Dental image analysis: Where deep learning meets dentistry. Malarial Parasite Detection in Blood Smear Microscopic Images: A Review on Deep Learning Approaches. Automatic Classification of Coronary Stenos is using Convolutional Neural Networks and Simulated Annealing. Deep Learning Approach for Detecting COVID-19 from Chest X-ray Images.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
object detection;image classification;image segmentation;medical image analysis;medical image processing;machine learning;artificial intelligence;deep learning;convolutional neural networks;CNN Architecture;CNN Model;Convolutional Layers;Data Augmentation;Deep Learning Techniques;Dl Model;Max Pooling Layer;Feature Maps;Malarial Parasites;Model Iii;CXR Image;Local Binary Pattern;Panoramic Radiographs;CT Scan Image;Capsule Endoscopy;Capsule En-doscopy;CIE Lab Colour Space;CBCT Image;Anchor Boxes;SA;Cardiac Mri;SVM Classifier;Malaria Diagnosis;High Dimensional Search Space
Convolutional neural networks for segmentation in short-axis cine cardiac magnetic resonance imaging: review and considerations. Comparison of Traditional Machine Learning Algorithms and Convolution Neural Networks for Detection of Peripheral Malarial Parasites in Blood Smears. Deep Learning-Based Computer-Aided Diagnosis System for Attention Deficit Hyperactivity Disorder Classification Using Synthetic Data. Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation from CT Images. Convolutional Neural Networks for Medical Image Analysis. Ulcer and Red Lesion Detection in Wireless Capsule Endoscopy Images using CNN. Do More with Less: Deep Learning in Medical Imaging. Automatic Classification of fMRI Signals from Behavioral, Cognitive and Affective Tasks Using Deep Learning. Detection of COVID-19 in Lung CT-Scans using Reconstructed Image Features. Dental image analysis: Where deep learning meets dentistry. Malarial Parasite Detection in Blood Smear Microscopic Images: A Review on Deep Learning Approaches. Automatic Classification of Coronary Stenos is using Convolutional Neural Networks and Simulated Annealing. Deep Learning Approach for Detecting COVID-19 from Chest X-ray Images.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
object detection;image classification;image segmentation;medical image analysis;medical image processing;machine learning;artificial intelligence;deep learning;convolutional neural networks;CNN Architecture;CNN Model;Convolutional Layers;Data Augmentation;Deep Learning Techniques;Dl Model;Max Pooling Layer;Feature Maps;Malarial Parasites;Model Iii;CXR Image;Local Binary Pattern;Panoramic Radiographs;CT Scan Image;Capsule Endoscopy;Capsule En-doscopy;CIE Lab Colour Space;CBCT Image;Anchor Boxes;SA;Cardiac Mri;SVM Classifier;Malaria Diagnosis;High Dimensional Search Space
