AIMC Topic: Diagnosis, Differential
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Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies.
Scientific reports
May 10, 2021
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients with idiopathic inflammatory myopathies (IIMs) using muscle MRI radiomics features. Twenty-two patients with dermatomyositis (DM), 14 with amyopathic ...
Antigens, Ly
Muscles
Polymyositis
Urokinase-Type Plasminogen Activator
Antibodies, Antinuclear
Adult
Male
Middle Aged
ROC Curve
Magnetic Resonance Imaging
Diagnosis, Differential
Biopsy
Dermatomyositis
Image Interpretation, Computer-Assisted
Machine Learning
Humans
Retrospective Studies
Female
Reproducibility of Results
Aged
COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images.
Scientific reports
May 10, 2021
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients with pneumonia. However, the similarity between features of CXR images of COVID-19 and pneumonia caused by other infections makes the differential diag...
Clinical use of machine learning-based pathomics signature for diagnosis and survival prediction of bladder cancer.
Cancer science
May 5, 2021
Traditional histopathology performed by pathologists by the naked eye is insufficient for accurate and efficient diagnosis of bladder cancer (BCa). We collected 643 H&E-stained BCa images from Shanghai General Hospital and The Cancer Genome Atlas (TC...
White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds.
NeuroImage
May 3, 2021
White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the human brain MRI and have been associated with aging processes, cognitive decline, and dementia. In the current study, we proposed a U-Net with multi-scale...
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.
IEEE transactions on neural networks and learning systems
May 3, 2021
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. Deep learning techniques can...
Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.
Clinical radiology
May 1, 2021
AIM: To investigate machine learning based models combining clinical, radiomic, and molecular information to distinguish between early true progression (tPD) and pseudoprogression (psPD) in patients with glioblastoma.
Female
Reproducibility of Results
Aged
Young Adult
Adult
Humans
Machine Learning
Brain
Retrospective Studies
Predictive Value of Tests
Glioblastoma
Image Interpretation, Computer-Assisted
Image Enhancement
Chemoradiotherapy
Adolescent
Treatment Outcome
Contrast Media
Magnetic Resonance Imaging
Diagnosis, Differential
Sensitivity and Specificity
Brain Neoplasms
Male
Middle Aged
Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.
Scientific reports
Apr 29, 2021
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convoluti...
Distinguishing Rectal Cancer from Colon Cancer Based on the Support Vector Machine Method and RNA-sequencing Data.
Current medical science
Apr 20, 2021
Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Several studies have indicated that rectal cancer is significantly different from colon cancer in terms of treatment, prognosis, and metastasis. Recently, the differential...
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.
Nature biomedical engineering
Apr 15, 2021
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated deep-learning pipeline for the standardization of chest X-ray images, for the visualization of lesions and for disease diagnosis can identify viral pneu...
Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.
American journal of otolaryngology
Apr 9, 2021
OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these...
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