The International Collaboration for Cancer Classification and Research
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Cancer"
DOI: 10.1002/ijc.33260
Abstract: Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained… read more here.
Keywords: classification; research; collaboration cancer; international collaboration ... See more keywords
An approach for cancer classification using optimization driven deep learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22596
Abstract: The normal and cancer cell tissues exhibit different gene expressions. Therefore, gene expression data are the effective source for cancer classification, in which the usage of the original gene expression data is challenging due to… read more here.
Keywords: cancer; optimization; cancer classification; gene expression ... See more keywords
Molecular cancer classification on microarrays gene expression data using wavelet‐based deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22780
Abstract: Microarray data analysis is a most promising and difficult process due to the complex nature of data. It includes higher dimensionality, several unbalanced classes, a smaller sample size, the presence of noise, and a higher… read more here.
Keywords: cancer classification; classification; expression data; molecular cancer ... See more keywords
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00182-7
Abstract: The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior performance in different modalities of medical imaging including breast cancer classification, segmentation, and… read more here.
Keywords: cancer classification; classification; network; breast cancer ... See more keywords
Data augmentation for cancer classification in oncogenomics: an improved KNN based approach
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00283-w
Abstract: There is currently a great need for research in gene expression data to help with cancer classification in the field of oncogenomics. This is especially true since the disease occurs sporadically and often does not… read more here.
Keywords: classification; augmentation; cancer classification; data generated ... See more keywords
Fractional-atom search algorithm-based deep recurrent neural network for cancer classification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03008-z
Abstract: Deep learning has been paid great attention in several fields for the good reason, and their results achieved were not before possible. In deep learning, the models are trained based on huge labelled dataset and… read more here.
Keywords: atom search; neural network; cancer; based deep ... See more keywords
A comparative study of PCS and PAM50 prostate cancer classification schemes
Sign Up to like & getrecommendations! Published in 2021 at "Prostate Cancer and Prostatic Diseases"
DOI: 10.1038/s41391-021-00325-4
Abstract: Background Two prostate cancer (PC) classification methods based on transcriptome profiles, a de novo method referred to as the “Prostate Cancer Classification System” (PCS) and a variation of the established PAM50 breast cancer algorithm, were… read more here.
Keywords: classification; clinical outcomes; prostate cancer; cancer classification ... See more keywords
Breast Cancer Classification Using Equivariance Transition in Group Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253640
Abstract: In computer vision, rotation equivariance and translation invariance are properties of a representation that preserve the geometric structure of a transformed input. These properties are achieved in Convolutional Neural Networks (CNNs) through data augmentation. However,… read more here.
Keywords: group; breast cancer; cancer classification; convolutional neural ... See more keywords
Hyperspectral terahertz imaging and optical clearance for cancer classification in breast tumor surgical specimen
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.1.014002
Abstract: Abstract. Purpose: We investigate the enhancement in terahertz (THz) images of freshly excised breast tumors upon treatment with an optical clearance agent. The hyperspectral imaging and spectral classifications are used to quantitatively demonstrate the image… read more here.
Keywords: cancer classification; classification; optical clearance; breast tumor ... See more keywords
A Systems Approach to Prostate Cancer Classification-Response.
Sign Up to like & getrecommendations! Published in 2017 at "Cancer research"
DOI: 10.1158/0008-5472.can-17-0239
Abstract: We are gratified to learn that Thysell and colleagues investigated the PCS1–3 classification system ([1, 2][1]) in an independent prostate cancer cohort. The analysis of prostate cancer metastases from their cohort ([3, 4][2]) showed clear… read more here.
Keywords: prostate cancer; cancer classification; cancer; approach prostate ... See more keywords
Cancer classification and biomarker selection via a penalized logsum network-based logistic regression model
Sign Up to like & getrecommendations! Published in 2021 at "Technology and Health Care"
DOI: 10.3233/thc-218026
Abstract: BACKGROUND: In genome research, it is particularly important to identify molecular biomarkers or signaling pathways related to phenotypes. Logistic regression model is a powerful discrimination method that can offer a clear statistical explanation and obtain… read more here.
Keywords: logistic regression; classification; cancer classification; regression model ... See more keywords