AIMC Topic: Disease Progression

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Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images.

Sensors (Basel, Switzerland) Apr 30, 2022
We propose an encoder-decoder architecture using wide and deep convolutional layers combined with different aggregation modules for the segmentation of medical images. Initially, we obtain a rich representation of features that span from low to high ...
Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted Data Collection
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A Novel Transformer-Based Attention Network for Image Dehazing.

Sensors (Basel, Switzerland) Apr 30, 2022
Image dehazing is challenging due to the problem of ill-posed parameter estimation. Numerous prior-based and learning-based methods have achieved great success. However, most learning-based methods use the changes and connections between scale and de...
Learning Disease Progression Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative.

Arthritis care & research Apr 1, 2022
OBJECTIVE: To study the longitudinal performance of fully automated cartilage segmentation in knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in progressor knees from the Foundation for the National Institutes of H...
Case-Control Studies Deep Learning Osteoarthritis, Knee United States Humans Cartilage, Articular Biomarkers Magnetic Resonance Imaging National Institutes of Health (U.S.) Knee Joint Disease Progression Algorithms
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Machine learning predicts cancer subtypes and progression from blood immune signatures.

PloS one Feb 28, 2022
Clinical adoption of immune checkpoint inhibitors in cancer management has highlighted the interconnection between carcinogenesis and the immune system. Immune cells are integral to the tumour microenvironment and can influence the outcome of therapi...
Mice, Inbred BALB C Myeloid Cells B7-H1 Antigen Humans Mice Disease Progression Cell Line, Tumor Colorectal Neoplasms Machine Learning Tumor Microenvironment Female Animals
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Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

European radiology Feb 24, 2022
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The present study aimed to develop weakly supervised deep learning (DL) models that utilize computed tomography (CT) image data for the automated detection and stagi...
Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Deep Learning Spirometry Disease Progression Humans Retrospective Studies
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Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.

Journal of digital imaging Feb 23, 2022
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it is characterized by the production of immature malignant cells in the bone marrow. Computer vision techniques provide automated analysis that can help specialist...
Disease Progression Child Image Processing, Computer-Assisted Humans Neural Networks, Computer Bayes Theorem Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field.

Sensors (Basel, Switzerland) Feb 22, 2022
The axle box in the bogie system of subway trains is a key component connecting primary damper and the axle. In order to extract deep features and large-scale fault features for rapid diagnosis, a novel fault reconstruction characteristics classifica...
Disease Progression Image Processing, Computer-Assisted Neural Networks, Computer Humans Algorithms
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Understanding Heart Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Heart failure (HF) is a major cause of mortality. Accurately monitoring HF progress and adjusting therapies are critical for improving patient outcomes. An experienced cardiologist can make accurate HF stage diagnoses based on combination of symptoms...
Heart Failure Electronic Health Records Humans Disease Progression Machine Learning
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Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Age-related macular degeneration (AMD) is the leading cause of vision loss. Some patients experience vision loss over a delayed timeframe, others at a rapid pace. Physicians analyze time-of-visit fundus photographs to predict patient risk of developi...
Survival Analysis Fundus Oculi Macular Degeneration Humans Prognosis Disease Progression Deep Learning
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IDNetwork: A deep illness-death network based on multi-state event history process for disease prognostication.

Statistics in medicine Feb 17, 2022
Multi-state models can capture the different patterns of disease evolution. In particular, the illness-death model is used to follow disease progression from a healthy state to an intermediate state of the disease and to a death-related final state. ...
Neural Networks, Computer Prognosis Humans Proportional Hazards Models Disease Transmission, Infectious United States Risk Factors Probability Disease Progression Markov Chains
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