Gene selection for tumor classification using neighborhood rough sets and entropy measures
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Regenerative Semi-Supervised Bidirectional W-Network-Based Knee Bone Tumor Classification on Radiographs Guided by Three-Region Bone Segmentation
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Bone osteosarcoma tumor classification
Sign Up to like & getrecommendations! Published in 2023 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v31.i1.pp582-587
Abstract: Osteosarcoma is a malignant bone tumor that usually affects children and adolescents. Early detection of osteosarcoma tumors increases the likelihood of successful therapy. Manual identification of osteosarcoma requires highly skilled doctors. In this study, we… read more here.
Keywords: osteosarcoma; tumor classification; bone osteosarcoma; tumor ... See more keywords
Incremental Dilations Using CNN for Brain Tumor Classification
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10144915
Abstract: Brain tumor classification is a challenging task in the field of medical image processing. Technology has now enabled medical doctors to have additional aid for diagnosis. We aim to classify brain tumors using MRI images,… read more here.
Keywords: classification; brain tumor; tumor classification; brain ... See more keywords
Brain Tumor Classification Using Dense Efficient-Net
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11010034
Abstract: Brain tumors are most common in children and the elderly. It is a serious form of cancer caused by uncontrollable brain cell growth inside the skull. Tumor cells are notoriously difficult to classify due to… read more here.
Keywords: brain tumor; brain; tumor classification; using dense ... See more keywords
Imaging the WHO 2021 Brain Tumor Classification: Fully Automated Analysis of Imaging Features of Newly Diagnosed Gliomas
Sign Up to like & getrecommendations! Published in 2023 at "Cancers"
DOI: 10.3390/cancers15082355
Abstract: Simple Summary With the release of the fifth WHO classification for CNS tumors in 2021, biology-based tumor classification is further advanced with the addition of molecular characteristics into diagnosis. This both poses challenges as well… read more here.
Keywords: brain tumor; imaging features; tumor classification; tumor ... See more keywords