October 2017

Table of Contents - PeerJ (Biology Articles)

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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 20, 2017
Effects of GnRHa treatment during vitellogenesis on the reproductive physiology of thermally challenged female Atlantic salmon (Salmo salar)
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https://doi.org/10.7717/peerj.3898 PubMed 29062601
October 11, 2017
The effects of familiarity on escape responses in the Trinidadian guppy (Poecilia reticulata)
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https://doi.org/10.7717/peerj.3899 PubMed 29038756
October 27, 2017
Novel mesostructured inclusions in the epidermal lining of Artemia franciscana ovisacs show optical activity
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https://doi.org/10.7717/peerj.3923 PubMed 29093995
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 24, 2017
Diversity of fish sound types in the Pearl River Estuary, China
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https://doi.org/10.7717/peerj.3924 PubMed 29085746
October 27, 2017
Inorganic, organic, and encapsulated minerals in vegetable meal based diets for Sparus aurata (Linnaeus, 1758)
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https://doi.org/10.7717/peerj.3710 PubMed 29093992
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 31, 2017
Genome size and identification of abundant repetitive sequences in Vallisneria spinulosa
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https://doi.org/10.7717/peerj.3982 PubMed 29104828
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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