October 2017

Table of Contents - PeerJ (Biology Articles)

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agricultural-science plant-science
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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 16, 2017
Tolerance: the forgotten child of plant resistance
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https://doi.org/10.7717/peerj.3934 PubMed 29062607
October 3, 2017
Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum
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https://doi.org/10.7717/peerj.3867 PubMed 29018608
October 26, 2017
Evaluation of genetic variability among “Early Mature” Juglans regia using microsatellite markers and morphological traits
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https://doi.org/10.7717/peerj.3834 PubMed 29085742
October 30, 2017
Comparative genomic analysis of the PKS genes in five species and expression analysis in upland cotton
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https://doi.org/10.7717/peerj.3974 PubMed 29104824
October 24, 2017
Glycaspis brimblecombei (Hemiptera: Psyllidae) attack patterns on different Eucalyptus genotypes
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https://doi.org/10.7717/peerj.3864 PubMed 29085744
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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