相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Deep Fuzzy Hashing Network for Efficient Image Retrieval
Huimin Lu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)
Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing
Qianmu Li et al.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2021)
Deep learning for variational multimodality tumor segmentation in PET/CT
Laquan Li et al.
NEUROCOMPUTING (2020)
Variational PET/CT Tumor Co-Segmentation Integrated With PET Restoration
Laquan Li et al.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2020)
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images
Jue Jiang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
Zhe Guo et al.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2019)
Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network
Xiangming Zhao et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods
Lina Xu et al.
CONTRAST MEDIA & MOLECULAR IMAGING (2018)
The continual innovation of commercial PET/CT solutions in nuclear cardiology: Siemens Healthineers
Bernard Bendriem et al.
JOURNAL OF NUCLEAR CARDIOLOGY (2018)
Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation
Xu-Hao Zhi et al.
PATTERN RECOGNITION (2018)
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation
Lei Bi et al.
VISUAL COMPUTER (2018)
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans
Sarfaraz Hussein et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
A [18F] FDG-PET adaptive thresholding algorithm for delineation of RT volumes of head& neck cancer.
M. Paolini et al.
RADIOTHERAPY AND ONCOLOGY (2017)
Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation
Keyan Ding et al.
SIGNAL PROCESSING (2017)
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images
Wei Ju et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
Topology polymorphism graph for lung tumor segmentation in PET-CT images
Hui Cui et al.
PHYSICS IN MEDICINE AND BIOLOGY (2015)
Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model
Yu Guo et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2014)
Variational Segmentation of Vector-Valued Images With Gradient Vector Flow
Vincent Jaouen et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)
A New Iterative Triclass Thresholding Technique in Image Segmentation
Hongmin Cai et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)
Lung Tumor Delineation Based on Novel Tumor-Background Likelihood Models in PET-CT Images
Xiuying Wang et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2014)
Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: A comparison with threshold-based approaches, CT and surgical specimens
Marie Wanet et al.
RADIOTHERAPY AND ONCOLOGY (2011)
Comparative Assessment of Methods for Estimating Tumor Volume and Standardized Uptake Value in 18F-FDG PET
Perrine Tylski et al.
JOURNAL OF NUCLEAR MEDICINE (2010)
Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models
S. Vauclin et al.
PHYSICS IN MEDICINE AND BIOLOGY (2009)
Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning
Issam El Naqa et al.
MEDICAL PHYSICS (2007)
A gradient-based method for segmenting FDG-PET images:: methodology and validation
Xavier Geets et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2007)
Active contours without edges
TF Chan et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2001)