Automated classification as an alternative or adjunct to traditional ultrasound scoring for rheumatoid arthritis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23142
Abstract: The initial screening of medical images remains a fundamental bottleneck to the effective diagnosis of time-sensitive diseases in many settings. This has been mitigated in recent years by the introduction of deep learning-based approaches, in… read more here.
Keywords: classification alternative; automated classification; rheumatoid arthritis; arthritis ... See more keywords
Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2277-3_14
Abstract: Cell images provide a multitude of phenotypic information, which in its entirety the human eye can hardly perceive. Automated image analysis and machine learning approaches enable the unbiased identification and analysis of cellular mechanisms and… read more here.
Keywords: machine learning; cellprofiler; cellprofiler analyst; automated classification ... See more keywords
Issues in the automated classification of multilead ecgs using heterogeneous labels and populations
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac79fd
Abstract: Objective. The standard twelve-lead electrocardiogram (ECG) is a widely used tool for monitoring cardiac function and diagnosing cardiac disorders. The development of smaller, lower-cost, and easier-to-use ECG devices may improve access to cardiac care in… read more here.
Keywords: algorithms; automated classification; issues automated; classification multilead ... See more keywords
Automated classification of increased uptake regions in bone single-photon emission computed tomography/computed tomography images using three-dimensional deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2021 at "Nuclear Medicine Communications"
DOI: 10.1097/mnm.0000000000001409
Abstract: Objective This study proposes an automated classification of benign and malignant in highly integrated regions in bone single-photon emission computed tomography/computed tomography (SPECT/CT) using a three-dimensional deep convolutional neural network (3D-DCNN). Methods We examined 100… read more here.
Keywords: computed tomography; classification; automated classification; benign malignant ... See more keywords
Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2918181
Abstract: Automatic and accurate classification of apoptosis, or programmed cell death, will facilitate cell biology research. The state-of-the-art approaches in apoptosis classification use deep convolutional neural networks (CNNs). However, these networks are not efficient in encoding… read more here.
Keywords: classification apoptosis; microscopy; automated classification; capsule ... See more keywords
Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "BioMed Research International"
DOI: 10.1155/2017/4067832
Abstract: Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell carcinoma, and small cell carcinoma) is required. However, improving the accuracy… read more here.
Keywords: cancer types; classification; lung; lung cancer ... See more keywords
Automated classification of otitis media with OCT: augmenting pediatric image datasets with gold-standard animal model data.
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical optics express"
DOI: 10.1364/boe.453536
Abstract: Otitis media (OM) is an extremely common disease that affects children worldwide. Optical coherence tomography (OCT) has emerged as a noninvasive diagnostic tool for OM, which can detect the presence and quantify the properties of… read more here.
Keywords: automated classification; otitis media; model; gold standard ... See more keywords
Automated classification of dolphin echolocation click types from the Gulf of Mexico
Sign Up to like & getrecommendations! Published in 2017 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1005823
Abstract: Delphinids produce large numbers of short duration, broadband echolocation clicks which may be useful for species classification in passive acoustic monitoring efforts. A challenge in echolocation click classification is to overcome the many sources of… read more here.
Keywords: click types; click; echolocation click; automated classification ... See more keywords
Automated Classification of Nanoparticles with Various Ultrastructures and Sizes
Sign Up to like & getrecommendations! Published in 2022 at "Ultramicroscopy"
DOI: 10.48550/arxiv.2207.14023
Abstract: Accurately measuring the size, morphology, and structure of nanoparticles is very important, because they are strongly dependent on their properties for many applications. In this paper, we present a deep-learning based method for nanoparticle measurement… read more here.
Keywords: various ultrastructures; automated classification; classification; classification nanoparticles ... See more keywords