October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
natural-resource-management
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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 2, 2017
Comparative study of Cd uptake and tolerance of two Italian ryegrass (Lolium multiflorum) cultivars
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https://doi.org/10.7717/peerj.3621 PubMed 29018594
October 26, 2017
Constructing stage-structured matrix population models from life tables: comparison of methods
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https://doi.org/10.7717/peerj.3971 PubMed 29085763
October 6, 2017
Genome methylation and regulatory functions for hypoxic adaptation in Tibetan chicken embryos
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https://doi.org/10.7717/peerj.3891 PubMed 29018624
October 18, 2017
Ongoing removals of invasive lionfish in Honduras and their effect on native Caribbean prey fishes
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https://doi.org/10.7717/peerj.3818 PubMed 29062597
October 2, 2017
Harnessing mtDNA variation to resolve ambiguity in ‘Redfish’ sold in Europe
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https://doi.org/10.7717/peerj.3746 PubMed 29018597
October 12, 2017
Seasonal and year-round use of the Kushiro Wetland, Hokkaido, Japan by sika deer (Cervus nippon yesoensis)
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https://doi.org/10.7717/peerj.3869 PubMed 29038752
October 30, 2017
Estimating the potential biodiversity impact of redeveloping small urban spaces: the Natural History Museum’s grounds
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https://doi.org/10.7717/peerj.3914 PubMed 29104821
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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