AIMC Topic: Lung Neoplasms

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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 11, 2019
Cancer has been one of the most threatening diseases to human health. There have been many efforts devoted to the advancement of radiology and transformative tools (e.g. non-invasive computed tomographic or CT imaging) to detect cancer in early stage...
Humans Neural Networks, Computer Aged, 80 and over Colorectal Neoplasms Male Middle Aged Tomography, X-Ray Computed Female Aged Datasets as Topic Diagnosis, Computer-Assisted Lung Neoplasms Diagnosis, Differential
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Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.

Computer methods and programs in biomedicine Aug 8, 2019
BACKGROUND AND OBJECTIVE: A feed-forward neural network (FNN) is a type of artificial neural network that has been widely used in medical diagnosis, data mining, stock market analysis, and other fields. Many studies have used FNN to develop medical d...
Mesothelioma Mesothelioma, Malignant Machine Learning Humans Algorithms Fuzzy Logic Neural Networks, Computer Lung Neoplasms Diagnostic Errors Data Mining Renal Insufficiency, Chronic
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Cross-registry neural domain adaptation to extract mutational test results from pathology reports.

Journal of biomedical informatics Aug 8, 2019
OBJECTIVE: We study the performance of machine learning (ML) methods, including neural networks (NNs), to extract mutational test results from pathology reports collected by cancer registries. Given the lack of hand-labeled datasets for mutational te...
Neural Networks, Computer Machine Learning Neoplasms Deep Learning Humans Mutation Lung Neoplasms Data Mining ErbB Receptors Computational Biology Registries Carcinoma, Non-Small-Cell Lung
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Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.

IEEE journal of biomedical and health informatics Jul 30, 2019
Metabolic reprogramming is a hallmark of cancer. In cancer cells, transcription factors (TFs) govern metabolic reprogramming through abnormally increasing or decreasing the transcription rate of metabolic enzymes, which provides cancer cells growth a...
Transcriptome Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Transcription Factors Algorithms Enzymes Gene Expression Profiling
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Automated 4π radiotherapy treatment planning with evolving knowledge-base.

Medical physics Jul 26, 2019
PURPOSE: Non-coplanar 4π radiotherapy generalizes intensity modulated radiation therapy (IMRT) to automate beam geometry selection but requires complicated hyperparameter tuning to attain superior plan quality, which can be tedious and inconsistent. ...
Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Automation Radiotherapy Dosage Head and Neck Neoplasms Knowledge Bases Humans Lung Neoplasms
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Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

BMC medical informatics and decision making Jul 25, 2019
BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several gr...
Algorithms Electronic Health Records Adult Early Detection of Cancer Natural Language Processing Surveys and Questionnaires Lung Neoplasms Humans Medical Records Systems, Computerized Registries Cigarette Smoking Information Storage and Retrieval
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IoT with cloud based lung cancer diagnosis model using optimal support vector machine.

Health care management science Jul 20, 2019
In the last decade, exponential growth of Internet of Things (IoT) and cloud computing takes the healthcare services to the next level. At the same time, lung cancer is identified as a dangerous disease which increases the global mortality rate annua...
Humans Internet of Things Algorithms Cloud Computing Tomography, X-Ray Computed Lung Neoplasms Support Vector Machine
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.

PloS one Jul 12, 2019
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which plays an important role in the diagnosis ...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Early Detection of Cancer Reference Standards Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Humans False Positive Reactions Imaging, Three-Dimensional Neural Networks, Computer Lung Neoplasms Tomography, X-Ray Computed
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Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

Medical image analysis Jul 10, 2019
Classification of benign-malignant lung nodules on chest CT is the most critical step in the early detection of lung cancer and prolongation of patient survival. Despite their success in image classification, deep convolutional neural networks (DCNNs...
Algorithms Precancerous Conditions Tomography, X-Ray Computed Radiography, Thoracic Lung Neoplasms Humans Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Supervised Machine Learning Datasets as Topic
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Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 8, 2019
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...
Mice, Inbred BALB C Image Interpretation, Computer-Assisted Neoplasm Micrometastasis Lung Neoplasms Mice Nanoparticles Animals Liver Neoplasms Imaging, Three-Dimensional Machine Learning Female
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