Quantifying spatial heterogeneity in tumours from dynamic contrast-enhanced MRI

Quantifying spatial heterogeneity in tumours from dynamic contrast-enhanced MRI

Cancerous tumours are characterized by an inherent perfusion heterogeneity that can change over time and following therapy. The process of angiogenesis often results in increasingly disorganised and leaky vasculature as tumours progress. This may lead to heterogeneous perfusion, which is known to pr...

Mô tả đầy đủ

Chi tiết về thư mục
Tác giả chính:	Mirecka, J
Tác giả khác:	Jenkinson, M
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	2019
Những chủ đề:	Cancer Deep learning (Machine learning) Supervised learning (Machine learning)

Những quyển sách tương tự

Towards robust neural networks: evaluation and construction
Bằng: Lu, J
Được phát hành: (2021)

Learning and inference over relational data
Bằng: Abboud, R
Được phát hành: (2022)

Adversarial robustness of Bayesian neural networks
Bằng: Wicker, M
Được phát hành: (2021)

Introduction to Semi-supervised learning /
Bằng: 352292 Zhu, Xiojin, et al.
Được phát hành: (2006)

Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methods
Bằng: Musa Abdulkareem, et al.
Được phát hành: (2022-07-01)

On the adversarial robustness of Bayesian machine learning models
Bằng: Blaas, AC
Được phát hành: (2021)

The elements of statistical learning : data mining, inference and prediction /
Bằng: 333832 Hastie, T., et al.
Được phát hành: (2001)

Hybridizing Deep Neural Networks and Machine Learning Models for Aerial Satellite Forest Image Segmentation
Bằng: Clopas Kwenda, et al.
Được phát hành: (2024-05-01)

Time-series representation learning via temporal and contextual contrasting
Bằng: Eldele, Emadeldeen, et al.
Được phát hành: (2022)

Using machine learning to discover candidate localised transcripts from microscopy and genome-wide bioinformatics data
Bằng: Kiourlappou, M
Được phát hành: (2023)

Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review
Bằng: Celine M. Schreidah, et al.
Được phát hành: (2024-04-01)

Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation
Bằng: Seungdong Yoa, et al.
Được phát hành: (2021-01-01)

CLASSIFICATION BASED ON SEMI-SUPERVISED LEARNING: A REVIEW
Bằng: Aska Ezadeen Mehyadin, et al.
Được phát hành: (2021-05-01)

A reawakening of Machine Learning Application in Unmanned Aerial Vehicle: Future Research Motivation
Bằng: Wasswa Shafik, et al.
Được phát hành: (2022-05-01)

Multi-dimensional interpretable deep learning-radiomics based on intra-tumoral and spatial habitat for preoperative prediction of thymic epithelial tumours risk categorisation
Bằng: Yuhua Yang, et al.
Được phát hành: (2025-03-01)

A predictive and scalable health-monitoring system for handpumps
Bằng: Greeff, H
Được phát hành: (2020)

Fraud Detection in Sales of Distribution Companies Using Machine Learning
Bằng: Budi Wibowo Suhanjoyo, et al.
Được phát hành: (2023-08-01)

Aiding diagnosis of rare diseases from photographs using machine learning
Bằng: Dawson, M
Được phát hành: (2019)

Devising a Breast Cancer Diagnosis Protocol through Machine Learning
Bằng: Tooba Mujtaba, et al.
Được phát hành: (2024-01-01)

Automated quality control by application of machine learning techniques for quantitative liver MRI
Bằng: Hill, C
Được phát hành: (2021)

Machine Learning Applications in Renewable Energy (MLARE) Research: A Publication Trend and Bibliometric Analysis Study (2012–2021)
Bằng: Samuel-Soma M. Ajibade, et al.
Được phát hành: (2023-04-01)

An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases
Bằng: Andre Wirries, et al.
Được phát hành: (2022-03-01)

Machine Learning and Marketing: A Systematic Literature Review
Bằng: Vannessa Duarte, et al.
Được phát hành: (2022-01-01)

Artificial Intelligence in Fractured Dental Implant Detection and Classification: Evaluation Using Dataset from Two Dental Hospitals
Bằng: Dong-Woon Lee, et al.
Được phát hành: (2021-02-01)

Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
Bằng: Tachetti, Andrea, et al.
Được phát hành: (2017)

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
Bằng: Abrar Yaqoob, et al.
Được phát hành: (2023-09-01)

A supervised‐learning‐based spatial performance prediction framework for heterogeneous communication networks
Bằng: Shubhabrata Mukherjee, et al.
Được phát hành: (2020-11-01)

Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
Bằng: George Obaido, et al.
Được phát hành: (2024-09-01)

Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning
Bằng: Jeffrey Dominic, et al.
Được phát hành: (2023-02-01)

A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study
Bằng: Jae-Hong Lee, et al.
Được phát hành: (2020-11-01)

Learning the Use of Artificial Intelligence in Heterogeneous Catalysis
Bằng: Xim Bokhimi
Được phát hành: (2021-10-01)

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis
Bằng: Hager Saleh, et al.
Được phát hành: (2022-05-01)

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
Bằng: Juan S. Angarita-Zapata, et al.
Được phát hành: (2019-01-01)

Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach
Bằng: Eka Miranda, et al.
Được phát hành: (2023-07-01)

The Significance of Machine Learning and its Applicability in The research Field
Bằng: Sultan bin Saad Saud Al-Harbi
Được phát hành: (2024-06-01)

Developing an Improved Survival Prediction Model for Disease Prognosis
Bằng: Zhanbo Chen, et al.
Được phát hành: (2022-11-01)

Multimodal explainable AI predicts upcoming speech behavior in adults who stutter
Bằng: Arun Das, et al.
Được phát hành: (2022-08-01)

A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges
Bằng: Qi An, et al.
Được phát hành: (2023-04-01)

AI in Breast Cancer Imaging: A Survey of Different Applications
Bằng: João Mendes, et al.
Được phát hành: (2022-08-01)

A Workload Characterization Methodology Using Supervised and Unsupervised Deep Learning
Bằng: Bing Hu, et al.
Được phát hành: (2024-01-01)