AIMC Topic: ROC Curve

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Deep learning radiomics model based on breast ultrasound video to predict HER2 expression status.

Frontiers in endocrinology Apr 18, 2023
PURPOSE: The detection of human epidermal growth factor receptor 2 (HER2) expression status is essential to determining the chemotherapy regimen for breast cancer patients and to improving their prognosis. We developed a deep learning radiomics (DLR)...
Female Humans Deep Learning Breast Neoplasms ROC Curve
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Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images.

Big data Apr 17, 2023
Pneumonia, caused by microorganisms, is a severely contagious disease that damages one or both the lungs of the patients. Early detection and treatment are typically favored to recover infected patients since untreated pneumonia can lead to major com...
Humans Algorithms Deep Learning Neural Networks, Computer Pneumonia Convolutional Neural Networks Radiography, Thoracic ROC Curve
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Recurrent neural networks for time domain modelling of FTIR spectra: application to brain tumour detection.

The Analyst Apr 11, 2023
Attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy alongside machine learning (ML) techniques is an emerging approach for the early detection of brain cancer in clinical practice. A crucial step in the acquisition of an...
Brain Neoplasms ROC Curve Humans Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Fourier Analysis
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FRODO: An In-Depth Analysis of a System to Reject Outlier Samples From a Trained Neural Network.

IEEE transactions on medical imaging Apr 3, 2023
An important limitation of state-of-the-art deep learning networks is that they do not recognize when their input is dissimilar to the data on which they were trained and proceed to produce outputs that will be unreliable or nonsensical. In this work...
Neural Networks, Computer ROC Curve
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Development of a patients' satisfaction analysis system using machine learning and lexicon-based methods.

BMC health services research Mar 23, 2023
BACKGROUND: Patients' rights are integral to medical ethics. This study aimed to perform sentiment analysis and opinion mining on patients' messages by a combination of lexicon-based and machine learning methods to identify positive or negative comme...
Humans Patient Satisfaction Machine Learning Artificial Intelligence ROC Curve Bayes Theorem
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MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models.

Physics in medicine and biology Mar 23, 2023
. Developing Machine Learning models (N Gorre et al 2023) for clinical applications from scratch can be a cumbersome task requiring varying levels of expertise. Seasoned developers and researchers may also often face incompatible frameworks and data ...
Neural Networks, Computer Machine Learning ROC Curve Software Algorithms
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Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.

Annals of surgery Mar 21, 2023
OBJECTIVE: To summarize state-of-the-art artificial intelligence-enabled decision support in surgery and to quantify deficiencies in scientific rigor and reporting.
Artificial Intelligence ROC Curve Humans
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Prognostic assessment capability of a five-gene signature in pancreatic cancer: a machine learning based-study.

BMC gastroenterology Mar 11, 2023
BACKGROUND: A prognostic assessment method with good sensitivity and specificity plays an important role in the treatment of pancreatic cancer patients. Finding a way to evaluate the prognosis of pancreatic cancer is of great significance for the tre...
Pancreatic Neoplasms Prognosis Humans Trypsin ROC Curve Machine Learning
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A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.

Journal of digital imaging Mar 10, 2023
Chest radiography is the modality of choice for the identification of rib fractures in young children and there is value for the development of computer-aided rib fracture detection in this age group. However, the automated identification of rib frac...
Radiography Deep Learning Child, Preschool Child ROC Curve Infant, Newborn Infant Retrospective Studies Humans Rib Fractures
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Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.

Computer methods and programs in biomedicine Mar 5, 2023
BACKGROUND AND OBJECTIVES: Radiomics and deep learning are two popular technologies used to develop computer-aided detection and diagnosis schemes for analysing medical images. This study aimed to compare the effectiveness of radiomics, single-task d...
ROC Curve Retrospective Studies Magnetic Resonance Imaging Humans Urinary Bladder Neoplasms Deep Learning Muscles
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