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A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours
2021
Frontiers in Digital Health
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In this paper, we introduce a dataset of pulmonary lesions for designing the computer-aided diagnosis (CAD) systems. The dataset has fine contour annotations and nine attribute annotations. ...
We define the structure of the dataset in detail, and then discuss the relationship of the attributes and pathology, and the correlation between the nine attributes with the chi-square test. ...
CONCLUSION This paper presents a dataset of lung lesions with fine contour annotation and attribute and explores the correlation between the attributes of the dataset. ...
doi:10.3389/fdgth.2020.609349
pmid:34713070
pmcid:PMC8521952
fatcat:fer5h5jlr5hejetfmhyafpljpi
A Systematic Collection of Medical Image Datasets for Deep Learning
[article]
2021
arXiv
pre-print
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Thus, as comprehensive as possible, this paper provides a collection of medical image datasets with their associated challenges for deep learning research. ...
The lack of data in the medical imaging field creates a bottleneck for the application of deep learning to medical image analysis. ...
Acknowledgments We thanks for the projects of National Natural Science Foundation of China (62072358), Zhejiang University special scientific research fund for COVID-19 preverntion and control, National ...
arXiv:2106.12864v1
fatcat:bjzkgce2xvaexmb6cdznws7fye
Classification and Segmentation of Pulmonary Lesions in CT Images Using a Combined VGG-XGBoost Method, and an Integrated Fuzzy Clustering-Level Set Technique
[article]
2022
arXiv
pre-print
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Finally, if a lesion is detected in the CT-scan image, it is segmented using a hybrid approach based on Fuzzy Clustering and Level Set. ...
However, lung illness diagnosis is time-intensive and requires the expertise of a pulmonary disease specialist, subject to a significant rate of inaccuracy. ...
Mahjoub and Behsazteb Medical Imaging Center for providing local CT-scan images of patients with human lung problems and providing diverse comments and reports on these images, which enabled us not only ...
arXiv:2101.00948v2
fatcat:lb7ss37idfa4joferliv5lddi4
CT Morphological Features Integrated With Whole-Lesion Histogram Parameters to Predict Lung Metastasis for Colorectal Cancer Patients With Pulmonary Nodules
2019
Frontiers in Oncology
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Methods: Our study enrolled 196 CRC patients with pulmonary nodules (136 in the training dataset and 60 in the validation dataset). ...
efficacy of single-slice and whole-lesion histogram analysis. ...
This study has received funding by the National Natural Science Foundation of China (Grant No. 81971687) and the Shanghai Committee of Science and Technology of China (Grant No. 19YF1409900). ...
doi:10.3389/fonc.2019.01241
pmid:31803619
pmcid:PMC6877751
fatcat:otdi2ilqbjawpilzmdr5uves74
Interleaved text/image Deep Mining on a large-scale radiology database
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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-Using the most relevant weights (document-level-h2) task model helps the curve to converge more quickly and reach a higher accuracy, but the final performance difference is less than what previously observed ...
The sentence-level image-topic classification accuracy plots using variations of AlexNet 8-layers show that -It is beneficial to start from ImageNet CNN weights. ...
Benefits of using ImageNet dataset as pre-training for this task with medical images and improvements of fine-tuning from CNN neural networks of similar tasks (e.g., from document-level-h1 CNN model to ...
doi:10.1109/cvpr.2015.7298712
dblp:conf/cvpr/ShinLKSYS15
fatcat:pjq3duo4rbeplcjmuhzyg6nmcy
Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT
2021
Quantitative Imaging in Medicine and Surgery
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Of the 2,309 nodules, 1,418 (61.4%) were benign and 891 (38.6%) were malignant, with 884 (99.21%) papillary carcinomas. ...
This study included 2,309 thyroid nodules in 1,697 patients with histopathological and cytopathological diagnoses of benign and malignant nodules from January 2018 to August 2020. ...
The big promise of radiomics is to offer a non-invasive, full-field procedure for the characterisation of pulmonary lesions. ...
doi:10.21037/qims-20-1365
pmid:34341735
pmcid:PMC8245934
fatcat:5ooe3zjdd5h4tkyrpobebmqwli
The application of conventional us and transthoracic ultrasound elastography in evaluating peripheral pulmonary lesions
2018
Experimental and Therapeutic Medicine
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For conventional US, a lesion diameter ≥5 cm, irregular contour, presence of air bronchogram and non-abundant vascularity were predictive factors of malignancy (P<0.05). ...
For ARFIimaging scores, an elasticity score of 3 or greater was predictive of malignancy, with a sensitivity of 83.6% (46/55) and a specificity of 52.8% (19/36). ...
Funding The present study was funded by the Scientific Research of Heilongjiang Province Health and Family Planning Commission (grant no. 2014-334). ...
doi:10.3892/etm.2018.6335
pmid:30116370
pmcid:PMC6090271
fatcat:qvc7tqzckbcifjezf67isze5py
Multicriteria 3D PET image segmentation
2015
2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)
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The analysis of images acquired with Positron Emission Tomography (PET) is challenging. ...
Preliminary results on synthetic and real images confirm the relevance of this methodology, both as a segmentation approach and as an experimental framework for criteria evaluation. ...
Left: CT image, with a tissue-based color rendering. Right: PET image (FDG), with a pulmonary tumor.
Fig. 3 . 3 Left: initial phantom (2D slice). Right: segmentation result. ...
doi:10.1109/ipta.2015.7367162
dblp:conf/ipta/PadillaGRNKTNGP15
fatcat:ezvp7jvy6ncsth4uhhwxuts3qq
A survey of pulmonary nodule detection, segmentation and classification in computed tomography with deep learning techniques
2019
Journal of Medical Artificial Intelligence
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Acknowledgements It is so appreciated for support and help from workmates in the project of Miying in Tencent.
Footnote Conflicts of Interest: J Wu and T Qian are Tencent employees. ...
Besides prediction of malignancy, the areas of detected nodules and the semantic high-level attributes could be provided. ...
(36) integrated a set of 3D CNNs with different sizes of receptive field to involve multi-level contextual information around pulmonary nodules. ...
doi:10.21037/jmai.2019.04.01
fatcat:s44bw5iwpjf6bpaxqpwi44ysmu
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
[article]
2022
arXiv
pre-print
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A gating mechanism is adopted and integrated with various decoders for the generation. ...
In this paper, we introduce a novel fined-grained knowledge graph structure called an attributed abnormality graph (ATAG). ...
model [43] with an adaptive attention module and a one-level LSTM decoder, SentSAT [12] with a two-level LSTM decoder, CoAtt [11] with additional label features in addition to SentSAT, and SentSAT ...
arXiv:2207.01208v2
fatcat:qqheb2oe6zffjgilqwb2hjqoia
An RDAU-NET model for lesion segmentation in breast ultrasound images
2019
PLoS ONE
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The localization and segmentation of the lesions in breast ultrasound (BUS) images are helpful for clinical diagnosis of the disease. ...
The experimental results illustrate that the proposed RDAU-NET model can accurately segment breast lesions when compared to other deep learning models and thus has a good prospect for clinical diagnosis ...
Acknowledgments We would like to acknowledge the following for providing the Ultrasound Datasets.
Author Contributions Conceptualization: Zhemin Zhuang, Nan Li. Mahesh. ...
doi:10.1371/journal.pone.0221535
pmid:31442268
pmcid:PMC6707567
fatcat:wgjvukzutvealm7zzpmkfzhzgy
State-of-the-art review on deep learning in medical imaging
2019
Frontiers in Bioscience
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We would like to thank the publishers for approving usage of images in our paper. We would like to thank MediaLab Asia, DEITY for their encouragement and support. ...
Multiple layers of convolution, ReLu and pooling are applied to extract high level features. ...
There are several complications in computational estimation of brain lesion i.e., they can occur at multiple sites, shape and size of lesions vary and their intensity profiles overlap with healthy parts ...
doi:10.2741/4725
fatcat:lh5b3okh4jcq5aogjfowjfdaqy
Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT Images via the Dual-Channel Attention Network
2022
Frontiers in Public Health
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Since the area of TD lesion is small and similar to surrounding organs, we designed the atrous spatial pyramid pooling (ASPP) and attention mechanisms, which can efficiently complete the segmentation of ...
Tracheobronchial diverticula (TD) is a common cystic lesion that can be easily neglected; hence accurate and rapid identification is critical for later diagnosis. ...
In addition, considering the smallness of the lesion and its complex background, a two-channel network was designed to achieve the segmentation task with both rough and fine-grained results, which consisted ...
doi:10.3389/fpubh.2021.813717
pmid:35071176
pmcid:PMC8766980
fatcat:nl5qq75xnrhfzjixgfwcbxcgvy
A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors
2022
Diagnostics
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Radiomics features may be used to differentiate PHs from PCTs with high levels of accuracy, even without the presence of fat on the CT. ...
In this study, CT radiomic features are evaluated to differentiate pulmonary hamartomas (PHs) from pulmonary carcinoid tumors (PCTs). A total of 138 patients (78 PCTs and 60 PHs) were evaluated. ...
The clinical information of the patients remained blinded from them and was manually delineated for all lesions. The senior clinicians reviewed all contours (KO, AGÇ) (Figure 1 ). ...
doi:10.3390/diagnostics12020416
pmid:35204507
pmcid:PMC8871366
fatcat:elgk6hz26fhdnfjh4oai3lnwqa
Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics
2021
Frontiers in Digital Health
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Li et al. built a dataset of pulmonary lesions with multiple-level attributes and fine contours. ...
A family of multi-task and multi-label learning classifiers was employed to represent different levels of eye diseases. ...
Copyright © 2021 Qian, Zhang, Li and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...
doi:10.3389/fdgth.2021.763109
pmid:34713208
pmcid:PMC8526547
fatcat:4zmip7e6lnfytnkcepvoc7xhim
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