Integrative Serum Metabolic Fingerprints Based Multi‐Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202203786
Abstract: Identification of novel non‐invasive biomarkers is critical for the early diagnosis of lung adenocarcinoma (LUAD), especially for the accurate classification of pulmonary nodule. Here, a multiplexed assay is developed on an optimized nanoparticle‐based laser desorption/ionization… read more here.
Keywords: lung adenocarcinoma; pulmonary nodule; classification; metabolic fingerprints ... See more keywords
MRI for solitary pulmonary nodule and mass assessment: Current state of the art
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.26009
Abstract: Since the clinical introduction of magnetic resonance imaging (MRI), the chest has been one of its most challenging applications, and many physicists and radiologists have tried since the 1980s to use MR for assessment of… read more here.
Keywords: pulmonary nodule; nodule; assessment; nodule mass ... See more keywords
Differences in the clinical management of women and men after detection of a solitary pulmonary nodule in clinical practice
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06791-z
Abstract: Objectives To explore differences in the clinical management of men and women in the 5 years after detecting a solitary pulmonary nodule (SPN) by chest radiograph or CT in routine clinical practice. Methods We followed up… read more here.
Keywords: management; nodule; clinical management; differences clinical ... See more keywords
Supervised deep semantics-preserving hashing for real-time pulmonary nodule image retrieval
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-020-00963-2
Abstract: Hashing-based medical image retrieval has drawn extensive attention recently, which aims at providing effective aided diagnosis for medical personnel. In the paper, a novel deep hashing framework is proposed in the medical image retrieval, where… read more here.
Keywords: image; retrieval; image retrieval; nodule image ... See more keywords
Multi-scale pulmonary nodule classification with deep feature fusion via residual network
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1132-5
Abstract: The early stage detection of benign and malignant pulmonary nodules plays an important role in clinical diagnosis. The malignancy risk assessment is usually used to guide the doctor in identifying the cancer stage and making… read more here.
Keywords: network; pulmonary nodule; nodule; multi scale ... See more keywords
Hybrid Procedures for Pulmonary Nodule Resection: The Beginning of a New Era.
Sign Up to like & getrecommendations! Published in 2017 at "Archivos de bronconeumologia"
DOI: 10.1016/j.arbres.2017.11.003
Abstract: Si bien los procedimientos híbridos han sido utilizados desde hace tiempo en otras especialidades quirúrgicas, como la cirugía vascular o la neurocirugía, su aplicación en cirugía torácica es relativamente reciente y se utiliza fundamentalmente para… read more here.
Keywords: procedures pulmonary; hybrid procedures; pulmonary nodule; dulos pulmonares ... See more keywords
Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.08.012
Abstract: BACKGROUND AND OBJECTIVE In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive reduction, such… read more here.
Keywords: pulmonary nodule; nodule; nodule detection; non nodules ... See more keywords
Factors associated with subcentimeter pulmonary nodule outcomes followed with computed tomography imaging in oncology patients
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Radiology Open"
DOI: 10.1016/j.ejro.2020.100266
Abstract: Highlights • PNs with irregular, lobuled or spiculated margins exhibited faster growth than PNs with regular, smooth margins.• Malignancy was significantly associated with male gender, a colorectal cancer diagnosis and advanced stage disease.• Oncologic patients… read more here.
Keywords: associated subcentimeter; subcentimeter pulmonary; factors associated; pulmonary nodule ... See more keywords
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.022
Abstract: Abstract Detection of pulmonary nodules on chest CT is an essential step in the early diagnosis of lung cancer, which is critical for best patient care. In this paper, we propose an automated pulmonary nodule… read more here.
Keywords: detection; nodule detection; log filters; pulmonary nodule ... See more keywords
Watershed Segmentation with CAFIS and RCNN Classification for Pulmonary Nodule Detection
Sign Up to like & getrecommendations! Published in 2021 at "IETE Journal of Research"
DOI: 10.1080/03772063.2021.1978876
Abstract: The premier cause for high cancer deaths in the world is the lung cancer. It is important for the radiologists to predict lung cancer at an early stage. Various research works on such nodule segmen... read more here.
Keywords: watershed segmentation; cafis rcnn; pulmonary nodule; rcnn classification ... See more keywords
Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaf09f
Abstract: Existing deep-learning-based pulmonary nodule classification models usually use images and benign-malignant labels as inputs for training. Image attributes of the nodules, as human-nameable high-level semantic labels, are rarely used to build a convolutional neural network… read more here.
Keywords: network; pulmonary nodule; nodule; nodule classification ... See more keywords