October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
conservation-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 26, 2017
Constructing stage-structured matrix population models from life tables: comparison of methods
9 citations
872 downloads
1,884 views
,
conservation-biology
ecology
statistics
natural-resource-management
https://doi.org/10.7717/peerj.3971 PubMed 29085763
October 2, 2017
Harnessing mtDNA variation to resolve ambiguity in ‘Redfish’ sold in Europe
6 citations
302 downloads
2,232 views
, , , , ,
aquaculture-fisheries-and-fish-science
biodiversity
conservation-biology
genetics
natural-resource-management
https://doi.org/10.7717/peerj.3746 PubMed 29018597
October 18, 2017
Ongoing removals of invasive lionfish in Honduras and their effect on native Caribbean prey fishes
5 citations
656 downloads
2,567 views
, , ,
aquaculture-fisheries-and-fish-science
conservation-biology
ecology
marine-biology
natural-resource-management
https://doi.org/10.7717/peerj.3818 PubMed 29062597
October 12, 2017
Seasonal and year-round use of the Kushiro Wetland, Hokkaido, Japan by sika deer (Cervus nippon yesoensis)
2 citations
504 downloads
1,877 views
, , , , , , ,
animal-behavior
conservation-biology
ecology
natural-resource-management
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
621 downloads
2,892 views
, ,
biodiversity
conservation-biology
biosphere-interactions
natural-resource-management
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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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,
PeerJ Author
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