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DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework
Nature
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims to provide a new feature fusion framework for...
6 months ago
Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery
Frontiers
The Soil Plant Analysis Development (SPAD) is a vital index for evaluating crop nutritional status and serves as an essential parameter...
2 months ago
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification
Nature
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification.
4 months ago
Land use classification in mine-agriculture compound area based on multi-feature random forest: a case study of Peixian
Frontiers
IntroductionLand use classification plays a critical role in analyzing land use/cover change (LUCC). Remote sensing land use classification based on machine...
3 weeks ago
An efficient breast cancer classification model using bilateral filtering and fuzzy convolutional neural network
Nature
BC (Breast cancer) is the second most common reason for women to die from cancer. Recent workintroduced a model for BC classifications where...
4 months ago
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
BioMed Central
Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients' anatomy.
13 months ago
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography
Frontiers
Both reverse transcription-PCR (RT-PCR) and chest X-rays are used for the diagnosis of the coronavirus disease-2019 (COVID-19). However, COVID-19 pneumonia...
8 months ago
Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison
Nature
Early detection of liver malignancy based on medical image analysis plays a crucial role in patient prognosis and personalized treatment.
8 months ago
ALL classification using neural ensemble and memetic deep feature optimization
Frontiers
Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive proliferation of immature white blood cells, originating in the...
3 weeks ago
SnapEnsemFS: a snapshot ensembling-based deep feature selection model for colorectal cancer histological analysis
Nature
Colorectal cancer is the third most common type of cancer diagnosed annually, and the second leading cause of death due to cancer.
12 months ago