October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
infectious-diseases
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Machine learning to analyze colon glands

Malignant colorectal cancer

October 3, 2017

Machine learning to analyze colon glands

Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.

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October 24, 2017
Statins: antimicrobial resistance breakers or makers?
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https://doi.org/10.7717/peerj.3952 PubMed 29085751
October 27, 2017
Respiratory syncytial virus genotypes NA1, ON1, and BA9 are prevalent in Thailand, 2012–2015
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https://doi.org/10.7717/peerj.3970 PubMed 29085762
October 26, 2017
Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases
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https://doi.org/10.7717/peerj.3958 PubMed 29085755
October 9, 2017
Comparison of human papillomavirus (HPV) detection in urine and cervical swab samples using the HPV GenoArray Diagnostic assay
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https://doi.org/10.7717/peerj.3910 PubMed 29038761
October 5, 2017
Mechanisms of action and in vivo antibacterial efficacy assessment of five novel hybrid peptides derived from Indolicidin and Ranalexin against Streptococcus pneumoniae
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https://doi.org/10.7717/peerj.3887 PubMed 29018620
October 10, 2017
Virulence test using nematodes to prescreen Nocardia species capable of inducing neurodegeneration and behavioral disorders
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https://doi.org/10.7717/peerj.3823 PubMed 29038748
October 6, 2017
Effects of astragalus polysaccharide on the adhesion-related immune response of endothelial cells stimulated with CSFV in vitro
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https://doi.org/10.7717/peerj.3862 PubMed 29018607
Machine learning to analyze colon glands

Malignant colorectal cancer

October 3, 2017

Machine learning to analyze colon glands

Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.

- read article

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
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