COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.110289
Abstract: Biomedical images contain a large volume of sensor measurements, which can reveal the descriptors of the disease under investigation. Computer-based analysis of such measurements helps detect the disease, and thereby swiftly aid medical professionals to… read more here.
Keywords: cofe net; aided detection; covid; strategy ... See more keywords
COMPUTER-AIDED DETECTION AND IDENTIFICATION OF IMPLANTED CARDIAC DEVICES ON CHEST RADIOGRAPHY UTILIZING DEEP CONVOLUTIONAL NEURAL NETWORKS, A FORM OF MACHINE LEARNING
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(19)30915-5
Abstract: Identification of implanted cardiac devices is paramount to effective care of patients in the emergency department, operating room, radiology suite, and electrophysiology laboratory. However, without the knowledge of a specific device manufacturer, programming and interrogation… read more here.
Keywords: cardiac devices; aided detection; implanted cardiac; computer aided ... See more keywords
Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aad51c
Abstract: A novel computer-aided detection method based on deep learning framework was proposed to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To the best of our knowledge, this is the first… read more here.
Keywords: detection; aided detection; ulcer erosion; intestinal ulcer ... See more keywords
False-negative and false-positive outcomes of computer-aided detection on brain metastasis: Secondary analysis of a multicenter, multireader study
Sign Up to like & getrecommendations! Published in 2022 at "Neuro-Oncology"
DOI: 10.1093/neuonc/noac192
Abstract: Abstract Background Errors have seldom been evaluated in computer-aided detection on brain metastases. This study aimed to analyze false negatives (FNs) and false positives (FPs) generated by a brain metastasis detection system (BMDS) and by… read more here.
Keywords: brain; aided detection; detection; detection brain ... See more keywords
The Usefulness of Computer-Aided Detection of Brain Metastases on Contrast-Enhanced Computed Tomography Using Single-Shot Multibox Detector: Observer Performance Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000001339
Abstract: Objective This study aimed to test the usefulness of computer-aided detection (CAD) for the detection of brain metastasis (BM) on contrast-enhanced computed tomography. Methods The test data set included whole-brain axial contrast-enhanced computed tomography images… read more here.
Keywords: cad; aided detection; tomography; detection ... See more keywords
The Added Value of Computer-aided Detection of Small Pulmonary Nodules and Missed Lung Cancers
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Thoracic Imaging"
DOI: 10.1097/rti.0000000000000362
Abstract: Lung cancer at its earliest stage is typically manifested on computed tomography as a pulmonary nodule, which could be detected by low-dose multidetector computed tomography technology and the use of thinner collimation. Within the last… read more here.
Keywords: aided detection; pulmonary nodules; detection small; small pulmonary ... See more keywords
Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3224657
Abstract: In this article, we address the problem of hogweed detection using a drone equipped with red, green, blue (RGB) and multispectral cameras. We study two approaches: 1) offline detection running on the orthophoto of the… read more here.
Keywords: camera; aided detection; transfer learning; detection ... See more keywords
Computer-aided detection improves brain metastasis identification on non-enhanced CT in less experienced radiologists
Sign Up to like & getrecommendations! Published in 2022 at "Acta Radiologica"
DOI: 10.1177/02841851221139124
Abstract: Background Brain metastases (BMs) are the most common intracranial tumors causing neurological complications associated with significant morbidity and mortality. Purpose To evaluate the effect of computer-aided detection (CAD) on the performance of observers in detecting… read more here.
Keywords: cad; aided detection; less experienced; computer aided ... See more keywords
Practice toward standardized performance testing of computer-aided detection algorithms for pulmonary nodule
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.1071673
Abstract: This study aimed at implementing practice to build a standardized protocol to test the performance of computer-aided detection (CAD) algorithms for pulmonary nodules. A test dataset was established according to a standardized procedure, including data… read more here.
Keywords: aided detection; center; reference standard; algorithms pulmonary ... See more keywords
Accuracy of Computer-Aided Detection of Occupational Lung Disease: Silicosis and Pulmonary Tuberculosis in Ex-Miners from the South African Gold Mines
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191912402
Abstract: Background: Computer-aided detection (CAD) of pulmonary tuberculosis (TB) and silicosis among ex-miners from the South African gold mines has the potential to ease the backlog of lung examinations in clinical screening and medical adjudication for… read more here.
Keywords: cad; silicosis; pulmonary tuberculosis; aided detection ... See more keywords