Ensemble of Deep CNN Models for Human Skin Disease Classification
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23121
Abstract: Skin diseases are among the leading causes of disability worldwide and are a significant cause of morbidity in sub‐Saharan Africa. It can be cured if identified early. Only an expert dermatologist can classify skin disease… read more here.
Keywords: disease classification; disease; skin diseases; model ... See more keywords
KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07839-z
Abstract: In recent times, Chronic Kidney Disease (CKD) has affected more than 10% of the population worldwide and millions of people die every year. So, early-stage detection of CKD could be beneficial for increasing the life… read more here.
Keywords: disease classification; kidney disease; disease; chronic kidney ... See more keywords
Glomerular Disease Classification and Lesion Identification by Machine Learning.
Sign Up to like & getrecommendations! Published in 2021 at "Biomedical journal"
DOI: 10.1016/j.bj.2021.08.011
Abstract: BACKGROUND Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. In this regard, recent advance in machine learning-based image… read more here.
Keywords: classification; machine learning; lesion identification; model ... See more keywords
Orthopedic disease classification based on breadth-first search algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-73559-6
Abstract: Orthopedic diseases are widespread worldwide, impacting the body’s musculoskeletal system, particularly those involving bones or hips. They have the potential to cause discomfort and impair functionality. This paper aims to address the lack of supplementary… read more here.
Keywords: disease classification; breadth first; first search; algorithm ... See more keywords
Multiclass Disease Classification from Microbial Whole-Community Metagenomes
Sign Up to like & getrecommendations! Published in 2020 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1101/726901
Abstract: There is a wealth of information contained within one’s microbiome regarding their physiology and environment, and this is a promising avenue for developing non-invasive diagnostic tools. Here, we utilize 5643 aggregated, annotated whole-community metagenomes from… read more here.
Keywords: disease; community metagenomes; multiclass disease; disease classification ... See more keywords
Thorax Disease Classification Based on Pyramidal Convolution Shuffle Attention Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3198958
Abstract: Chest X-ray is one of the most common radiological examinations for screening thoracic diseases. Despite the existing methods based on convolution neural network that have achieved remarkable progress in thoracic disease classification from chest X-ray… read more here.
Keywords: disease classification; pyramidal convolution; shuffle attention; convolution ... See more keywords
Disease Classification Model Based on Multi-Modal Feature Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252011
Abstract: Aiming at the application of classification tasks in deep learning in disease classification, this paper proposes a disease classification model based on multi-modal feature fusion. In this model, chest X-ray images of patients are used… read more here.
Keywords: classification; feature fusion; multi modal; model ... See more keywords
MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3524729
Abstract: Maize (Zea mays) is a critical crop for global food security and economic stability. However, it is highly vulnerable to various diseases such as northern leaf blight, common rust, and maize lethal necrosis, which can… read more here.
Keywords: multi scale; disease; disease classification; scale convolutional ... See more keywords
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3352513
Abstract: Sharing multicenter imaging datasets can be advantageous to increase data diversity and size but may lead to spurious correlations between site-related biological and non-biological image features and target labels, which machine learning (ML) models may… read more here.
Keywords: disease; disease classification; site; classifier ... See more keywords
Convolutional Neural Network with Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2020.2989315
Abstract: The functional connectivity provides new insights into the mechanisms of the human brain at network-level, which has been proved to be an effective biomarker for brain disease classification. Recently, machine learning methods have played an… read more here.
Keywords: network; disease classification; brain disease; topological features ... See more keywords
Multiscale Spatial–Temporal Graph Attention Network for fMRI Brain Disease Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3568941
Abstract: Brain disease classification based on functional magnetic resonance imaging (fMRI) has become a hotspot in artificial intelligence research. Considering the graph structure properties of the brain network, graph learning methods have attracted increasing attention in… read more here.
Keywords: classification; disease classification; brain; brain disease ... See more keywords