Related references
Note: Only part of the references are listed.Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
Yu-Dong Zhang et al.
INFORMATION PROCESSING & MANAGEMENT (2021)
Facial expressions of emotion states and their neuronal correlates in mice
Nejc Dolensek et al.
SCIENCE (2020)
Artificial intelligence in cancer imaging: Clinical challenges and applications
Wenya Linda Bi et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2019)
Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy
Yao Sun et al.
MEDICAL PHYSICS (2019)
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
Huiying Liang et al.
NATURE MEDICINE (2019)
Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior
Liyuan Chen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Benefits of deep learning for delineation of organs at risk in head and neck cancer
J. van der Veen et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Deep learning-assisted literature mining for in vitro radiosensitivity data
Shuichiro Komatsu et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset
Mingjie Xu et al.
BIOMEDICAL ENGINEERING ONLINE (2019)
A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning
Xinyuan Chen et al.
MEDICAL PHYSICS (2019)
Classification of Brain Tumors Using Deep Features Extracted Using CNN
Shaik Basheera et al.
INTERNATIONAL CONFERENCE ON APPLIED PHYSICS, POWER AND MATERIAL SCIENCE (2019)
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
Shui-Hua Wang et al.
JOURNAL OF REAL-TIME IMAGE PROCESSING (2018)
Survey on deep learning for radiotherapy
Philippe Meyer et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function
Carlos E. Cardenas et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Artificial intelligence will soon change the landscape of medical physics research and practice
Lei Xing et al.
MEDICAL PHYSICS (2018)
Knowledge-based automated planning for oropharyngeal cancer
Aaron Babier et al.
MEDICAL PHYSICS (2018)
Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
Tim Lustberg et al.
RADIOTHERAPY AND ONCOLOGY (2018)
Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU
Yu-Dong Zhang et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2018)
Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling
Shui-Hua Wang et al.
FRONTIERS IN NEUROSCIENCE (2018)
Computed tomography super-resolution using deep convolutional neural network
Junyoung Park et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries
Arthur Jochems et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2017)
Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks
Bulat Ibragimov et al.
MEDICAL PHYSICS (2017)
Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study
Xin Zhen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2017)
Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks
Minh Hung Le et al.
PHYSICS IN MEDICINE AND BIOLOGY (2017)
Big Data Analytics for Prostate Radiotherapy
James Coates et al.
FRONTIERS IN ONCOLOGY (2016)
Share Paper
