Convolutional Neural Networks For Head And Neck Tumor Segmentation On 7 Channel Multiparametric Mri A Leave One Out Analysis
DOWNLOAD
Download Convolutional Neural Networks For Head And Neck Tumor Segmentation On 7 Channel Multiparametric Mri A Leave One Out Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Convolutional Neural Networks For Head And Neck Tumor Segmentation On 7 Channel Multiparametric Mri A Leave One Out Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Convolutional Neural Networks For Head And Neck Tumor Segmentation On 7 Channel Multiparametric Mri A Leave One Out Analysis
DOWNLOAD
Author : Lars Bielak
language : en
Publisher:
Release Date : 2020
Convolutional Neural Networks For Head And Neck Tumor Segmentation On 7 Channel Multiparametric Mri A Leave One Out Analysis written by Lars Bielak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Automatic Tumor Segmentation With A Convolutional Neural Network In Multiparametric Mri Influence Of Distortion Correction
DOWNLOAD
Author : Lars Bielak
language : en
Publisher:
Release Date : 2019
Automatic Tumor Segmentation With A Convolutional Neural Network In Multiparametric Mri Influence Of Distortion Correction written by Lars Bielak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Abstract: Precise tumor segmentation is a crucial task in radiation therapy planning. Convolutional neural networks (CNNs) are among the highest scoring automatic approaches for tumor segmentation. We investigate the difference in segmentation performance of geometrically distorted and corrected diffusion-weighted data using data of patients with head and neck tumors; 18 patients with head and neck tumors underwent multiparametric magnetic resonance imaging, including T2w, T1w, T2*, perfusion (ktrans), and apparent diffusion coefficient (ADC) measurements. Owing to strong geometrical distortions in diffusion-weighted echo planar imaging in the head and neck region, ADC data were additionally distortion corrected. To investigate the influence of geometrical correction, first 14 CNNs were trained on data with geometrically corrected ADC and another 14 CNNs were trained using data without the correction on different samples of 13 patients for training and 4 patients for validation each. The different sets were each trained from scratch using randomly initialized weights, but the training data distributions were pairwise equal for corrected and uncorrected data. Segmentation performance was evaluated on the remaining 1 test-patient for each of the 14 sets. The CNN segmentation performance scored an average Dice coefficient of 0.40 +- 0.18 for data including distortion-corrected ADC and 0.37 +- 0.21 for uncorrected data. Paired t test revealed that the performance was not significantly different (P = .313). Thus, geometrical distortion on diffusion-weighted imaging data in patients with head and neck tumor does not significantly impair CNN segmentation performance in use
Convolutional Neural Networks For Head And Neck Tumor Segmentation In Mri
DOWNLOAD
Author : Lars Bielak
language : en
Publisher:
Release Date : 2022*
Convolutional Neural Networks For Head And Neck Tumor Segmentation In Mri written by Lars Bielak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022* with categories.
Improving Deep Neural Network Training With Batch Size And Learning Rate Optimization For Head And Neck Tumor Segmentation On 2d And 3d Medical Images
DOWNLOAD
Author : Zachariah Douglas
language : en
Publisher:
Release Date : 2022
Improving Deep Neural Network Training With Batch Size And Learning Rate Optimization For Head And Neck Tumor Segmentation On 2d And 3d Medical Images written by Zachariah Douglas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Medical imaging is a key tool used in healthcare to diagnose and prognose patients by aiding the detection of a variety of diseases and conditions. In practice, medical image screening must be performed by clinical practitioners who rely primarily on their expertise and experience for disease diagnosis. The ability of convolutional neural networks (CNNs) to extract hierarchical features and determine classifications directly from raw image data makes CNNs a potentially useful adjunct to the medical image analysis process. A common challenge in successfully implementing CNNs is optimizing hyperparameters for training. In this study, we propose a method which utilizes scheduled hyperparameters and Bayesian optimization to classify cancerous and noncancerous tissues (i.e., segmentation) from head and neck computed tomography (CT) and positron emission tomography (PET) scans. The results of this method are compared using CT imaging with and without PET imaging for 2D and 3D image segmentation models.
Radiomics And Its Clinical Application
DOWNLOAD
Author : Jie Tian
language : en
Publisher: Academic Press
Release Date : 2021-06-03
Radiomics And Its Clinical Application written by Jie Tian and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Computers categories.
The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms
Head And Neck Tumor Segmentation
DOWNLOAD
Author : Vincent Andrearczyk
language : en
Publisher: Springer Nature
Release Date : 2021-01-12
Head And Neck Tumor Segmentation written by Vincent Andrearczyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.
This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.
Deep Learning In Medical Image Analysis And Multimodal Learning For Clinical Decision Support
DOWNLOAD
Author : M. Jorge Cardoso
language : en
Publisher: Springer
Release Date : 2017-09-07
Deep Learning In Medical Image Analysis And Multimodal Learning For Clinical Decision Support written by M. Jorge Cardoso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Computers categories.
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Medical Image Registration
DOWNLOAD
Author : Joseph V. Hajnal
language : en
Publisher: CRC Press
Release Date : 2001-06-27
Medical Image Registration written by Joseph V. Hajnal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-27 with Medical categories.
Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
Head And Neck Imaging
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2003
Head And Neck Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Fundamentals Of Computerized Tomography
DOWNLOAD
Author : Gabor T. Herman
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-14
Fundamentals Of Computerized Tomography written by Gabor T. Herman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-14 with Computers categories.
This revised and updated second edition – now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D reconstruction algorithms and alternative approaches to image reconstruction.