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。Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model
Malvika Ashok et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2023)
AUTOMATED SEGMENTATION OF COVID-19 REGIONS FROM LUNG CT IMAGES USING WATERSHED ALGORITHM AND CLASSIFICATION USING MACHINE LEARNING CLASSIFIERS
Bhargavee Guhan et al.
BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS (2022)
Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography
Dinesh Khanna et al.
JOURNAL OF SCLERODERMA AND RELATED DISORDERS (2022)
Monophonic music composition using genetic algorithm and Bresenham's line algorithm
Shipra Shukla et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2022)
A creative chain coding technique for bi-level image compression inspired by the NetLogo HIV agent-based modeling simulation
Khaldoon Dhou et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2022)
Otsu's thresholding technique for MRI image brain tumor segmentation
Myat Thet Nyo et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2022)
Towards a guideline for evaluation metrics in medical image segmentation
Dominik Mueller et al.
BMC RESEARCH NOTES (2022)
Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases
Yoshiharu Ohno et al.
EUROPEAN JOURNAL OF RADIOLOGY (2021)
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans
Tallha Akram et al.
PATTERN ANALYSIS AND APPLICATIONS (2021)
Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network
Amit Kumar Das et al.
PATTERN ANALYSIS AND APPLICATIONS (2021)
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
Ali Narin et al.
PATTERN ANALYSIS AND APPLICATIONS (2021)
Three-stage segmentation of lung region from CT images using deep neural networks
Michael Osadebey et al.
BMC MEDICAL IMAGING (2021)
The Differences and Changes of Semi-Quantitative and Quantitative CT Features of Coronavirus Disease 2019 Pneumonia in Patients With or Without Smoking History
Xingzhi Xie et al.
FRONTIERS IN MEDICINE (2021)
Fully Automatic Detection and Segmentation Approach for Juxta-Pleural Nodules From CT Images
Vijayalaxmi Mekali et al.
INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS (2021)
Lung Parenchyma Segmentation: Fully Automated and Accurate Approach for Thoracic CT Scan Images
S. Pramod Kumar et al.
IETE JOURNAL OF RESEARCH (2020)
A model based segmentation approach for lung segmentation from chest computer tomography images
Vivekanandan Dharmalingham et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing
He Ren et al.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (2020)
Lung tumor segmentation using improved region growing algorithm
Jamshid Soltani-Nabipour et al.
NUCLEAR ENGINEERING AND TECHNOLOGY (2020)
A soft-computing based approach towards automatic detection of pulmonary nodule
Jhilam Mukherjee et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images
Anita Khanna et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Automatic lung segmentation based on image decomposition and wavelet transform
Caixia Liu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
Tom Eelbode et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Johannes Hofmanninger et al.
EUROPEAN RADIOLOGY EXPERIMENTAL (2020)
A fractional order derivative based active contour model for inhomogeneous image segmentation
Bo Chen et al.
APPLIED MATHEMATICAL MODELLING (2019)
Radiomics and radiogenomics in lung cancer: A review for the clinician
Rajat Thawani et al.
LUNG CANCER (2018)
Low order adaptive region growing for lung segmentation on plain chest radiographs
Peter Chondro et al.
NEUROCOMPUTING (2018)
An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm
Xiaojiao Xiao et al.
APPLIED SCIENCES-BASEL (2018)
Lung CT Image Segmentation Using Deep Neural Networks
Brahim Ait Skourt et al.
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2017) (2018)
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM
Antonio Oseas de Carvalho Filho et al.
JOURNAL OF DIGITAL IMAGING (2017)
Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation
Changfa Shi et al.
MEDICAL IMAGE ANALYSIS (2017)
Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images
Jinke Wang et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2016)
An approach for reducing the error rate in automated lung segmentation
Gurman Gill et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2016)
A hierarchical local region-based sparse shape composition for liver segmentation in CT scans
Changfa Shi et al.
PATTERN RECOGNITION (2016)
The Lung Image Database Consortium, (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Samuel G. Armato et al.
MEDICAL PHYSICS (2011)
A segmentation framework for abdominal organs from CT scans
Paola Campadelli et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2010)