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   Articles with "tumor classification" as a keyword



Enhancing Brain Tumor Classification Through Optimal Kernel Selection With GL1$$ {GL}_1 $$ ‐Regularization

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70150

Abstract: Brain tumors, known for their rapid and aggressive growth, are among the most serious and life‐threatening diseases worldwide. This makes the development of automated detection methods essential for saving lives. Deep transfer learning has become… read more here.

Keywords: classification; brain; model; brain tumor ... See more keywords

Brain tumors classification using deep models and transfer learning

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recommendations! Published in 2024 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-024-20141-x

Abstract: Accurate brain tumor classification using magnetic resonance imaging (MRI) is crucial for guiding patient treatment decisions. However, differentiating tumor types can be challenging due to subtle variations in texture. This study investigates the potential of… read more here.

Keywords: transfer learning; brain; classification using; brain tumor ... See more keywords

Gene selection for tumor classification using neighborhood rough sets and entropy measures

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recommendations! Published in 2017 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2017.02.007

Abstract: With the development of bioinformatics, tumor classification from gene expression data becomes an important useful technology for cancer diagnosis. Since a gene expression data often contains thousands of genes and a small number of samples,… read more here.

Keywords: gene selection; gene; gene expression; tumor classification ... See more keywords

SGL-SVM: a novel method for tumor classification via support vector machine with sparse group Lasso.

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recommendations! Published in 2019 at "Journal of theoretical biology"

DOI: 10.1016/j.jtbi.2019.110098

Abstract: At present, with the in-depth study of gene expression data, the significant role of tumor classification in clinical medicine has become more apparent. In particular, the sparse characteristics of gene expression data within and between… read more here.

Keywords: classification; sgl svm; group lasso; tumor classification ... See more keywords

Fisher Discrimination Regularized Robust Coding Based on a Local Center for Tumor Classification

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recommendations! Published in 2018 at "Scientific Reports"

DOI: 10.1038/s41598-018-27364-7

Abstract: Tumor classification is crucial to the clinical diagnosis and proper treatment of cancers. In recent years, sparse representation-based classifier (SRC) has been proposed for tumor classification. The employed dictionary plays an important role in sparse… read more here.

Keywords: classification; robust coding; regularized robust; tumor classification ... See more keywords

Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-14917-w

Abstract: Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. This study proposes a novel ensemble deep learning system for accurate brain… read more here.

Keywords: brain; framework; tumor; brain tumor ... See more keywords

A hybrid CNN-ViT framework with cross-attention fusion and data augmentation for robust brain tumor classification.

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recommendations! Published in 2025 at "Scientific reports"

DOI: 10.1038/s41598-025-28636-9

Abstract: Brain tumor classification from MRI scans is a challenging task that requires accurate and timely detection increase patient survival rates. Conventional machine learning methods with hand-crafted features often fail to handle different sizes, forms, and… read more here.

Keywords: brain tumor; tumor classification; vit;

Regenerative Semi-Supervised Bidirectional W-Network-Based Knee Bone Tumor Classification on Radiographs Guided by Three-Region Bone Segmentation

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2949125

Abstract: The objective of this study is to develop and evaluate a new deep learning architecture, namely regenerative semi-supervised bidirectional W-network (RSS-BW), to predict the tumor state of the knee bone from radiographic images. First, we… read more here.

Keywords: tumor classification; knee bone; bone tumor; classification ... See more keywords

An Effective Tumor Classification With Deep Forest and Self-Training

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3096241

Abstract: In recent years, tumor classification based on the gene expression omnibus has become a continuous attention field in the area of bioinformatics. Integration machine learning techniques are an efficient methods to solve these problems. Generally,… read more here.

Keywords: tumor classification; unlabelled samples; deep forest; self training ... See more keywords

Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features

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recommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3140236

Abstract: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and ultrasound (US), which are two common modalities for clinical breast tumor diagnosis besides Mammograms, can provide different and complementary information for the same tumor regions. Although many machine… read more here.

Keywords: classification based; breast tumor; modality; tumor classification ... See more keywords

BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1465173

Abstract: Early detection of brain tumors can save precious human life. This work presents a fully automated design to classify brain tumors. The proposed scheme employs optimal deep learning features for the classification of FLAIR, T1,… read more here.

Keywords: brain tumor; optimal deep; brain; feature ... See more keywords