AIMC Topic: Sensitivity and Specificity
Clear Filters Showing 1431 to 1440 of 2880 articles
Texture analysis and multiple-instance learning for the classification of malignant lymphomas.
Computer methods and programs in biomedicine
Oct 23, 2019
BACKGROUND AND OBJECTIVES: Malignant lymphomas are cancers of the immune system and are characterized by enlarged lymph nodes that typically spread across many different sites. Many different histological subtypes exist, whose diagnosis is typically ...
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.
Radiology
Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Breast cancer histopathology image classification through assembling multiple compact CNNs.
BMC medical informatics and decision making
Oct 22, 2019
BACKGROUND: Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs intense workload, and diagnosti...
MR Protocol Optimization With Deep Learning: A Proof of Concept.
Current problems in diagnostic radiology
Oct 21, 2019
PURPOSE: This study was performed to demonstrate that a properly trained convolutional neural net (CNN) can provide an acceptable surrogate for human readers when performing a protocol optimization study. Tears of the anterior cruciate ligament (ACL)...
Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT.
Computational intelligence and neuroscience
Oct 20, 2019
With the development of computed tomography (CT), the contrast-enhanced CT scan is widely used in the diagnosis of thyroid nodules. However, due to the artifacts and high complexity of thyroid CT images, traditional machine learning has difficulty in...
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.
Scientific reports
Oct 18, 2019
Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted...
Promoting head CT exams in the emergency department triage using a machine learning model.
Neuroradiology
Oct 10, 2019
PURPOSE: In this study, we aimed to develop a novel prediction model to identify patients in need of a non-contrast head CT exam during emergency department (ED) triage.
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images.
Medical hypotheses
Oct 10, 2019
Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the input to those close to the output in order to trans...
Diagnosing brain tumours by routine blood tests using machine learning.
Scientific reports
Oct 9, 2019
Routine blood test results are assumed to contain much more information than is usually recognised even by the most experienced clinicians. Using routine blood tests from 15,176 neurological patients we built a machine learning predictive model for t...
Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.
Journal of the European Academy of Dermatology and Venereology : JEADV
Oct 8, 2019
BACKGROUND: Machine learning algorithms achieve expert-level accuracy in skin lesion classification based on clinical images. However, it is not yet shown whether these algorithms could have high accuracy when embedded in a smartphone app, where imag...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31394
- Neural Networks, Computer 29865
- Algorithms 27027
- Deep Learning 26550
- Artificial Intelligence 24477
- Robotics 13341
- Image Processing, Computer-Assisted 9603
- Retrospective Studies 9179
- Magnetic Resonance Imaging 6222
- Reproducibility of Results 5620
- Tomography, X-Ray Computed 4800
- Support Vector Machine 4717
- Computational Biology 4281
- Brain 4063
- Computer Simulation 3899
Recent Journals
- Scientific reports 6326
- Sensors (Basel, Switzerland) 4794
- PloS one 4100
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1870
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1147
- Journal of chemical information and modeling 1022
- Nature communications 984
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 866
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 835