October 2017

Table of Contents - PeerJ (Biology Articles)

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Biology
environmental-sciences
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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
Influence of current climate, historical climate stability and topography on species richness and endemism in Mesoamerican geophyte plants
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https://doi.org/10.7717/peerj.3932 PubMed 29062605
October 10, 2017
Illegal use of natural resources in federal protected areas of the Brazilian Amazon
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https://doi.org/10.7717/peerj.3902 PubMed 29038758
October 16, 2017
Microbial community diversity patterns are related to physical and chemical differences among temperate lakes near Beaver Island, MI
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https://doi.org/10.7717/peerj.3937 PubMed 29062609
October 27, 2017
Inferring microevolution from museum collections and resampling: lessons learned from Cepaea
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https://doi.org/10.7717/peerj.3938 PubMed 29093997
October 2, 2017
Framework for community functioning: synthesis of stress gradient and resource partitioning concepts
https://doi.org/10.7717/peerj.3885 PubMed 29018618
October 2, 2017
Diverse responses of Symbiodinium types to menthol and DCMU treatment
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https://doi.org/10.7717/peerj.3843 PubMed 29018600
October 27, 2017
Comparative demography of two common scleractinian corals: Orbicella annularis and Porites astreoides
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https://doi.org/10.7717/peerj.3906 PubMed 29093994
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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