I-Nema: A Biological Image Dataset for Nematode Recognition

[1]  Qiang Ji,et al.  Improved watershed segmentation using water diffusion and local shape priors , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[2]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Mark Slaxter Nematode parasites of vertebrates. Their development and transmission , 1993 .

[4]  P. Lambshead,et al.  Recent developments in marine benthic biodiversity research , 1993 .

[5]  D. Coyne,et al.  Current Nematode Threats to World Agriculture , 2011 .

[6]  Amit K. Roy-Chowdhury,et al.  Multi-focal nematode image classification using the 3D X-Ray Transform , 2010, 2010 IEEE International Conference on Image Processing.

[7]  Amit K. Roy-Chowdhury,et al.  Multilinear feature extraction and classification of multi-focal images, with applications in nematode taxonomy , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[9]  Dah-Jye Lee,et al.  Edge Detection Using Convolutional Neural Networks for Nematode Development and Adaptation Analysis , 2017, ICVS.

[10]  Iasonas Kokkinos,et al.  Identification of C. elegans Strains Using a Fully Convolutional Neural Network on Behavioural Dynamics , 2018, ECCV Workshops.

[11]  François Chollet,et al.  Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[12]  S. Nadler Species delimitation and nematode biodiversity: phylogenies rule , 2002 .

[13]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Aleksandra Pizurica,et al.  Machine vision detection of isolated and overlapped nematode worms using skeleton analysis , 2008, 2008 15th IEEE International Conference on Image Processing.

[15]  Terry L. Erwin,et al.  TROPICAL FORESTS: THEIR RICHNESS IN COLEOPTERA AND OTHER ARTHROPOD SPECIES , 1982 .

[16]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[17]  Shu Kong,et al.  Celeganser: Automated Analysis of Nematode Morphology and Age , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[18]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  Dorit Merhof,et al.  A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images , 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

[20]  Min Liu,et al.  A multi-direction image fusion based approach for classification of multi-focal nematode image stacks , 2017, 2017 IEEE International Conference on Image Processing (ICIP).

[21]  A.D. Doria Neto,et al.  An intelligent system for detection of nematodes in digital images , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[22]  Aleksandra Pizurica,et al.  Automatic Individual Detection and Separation of Multiple Overlapped Nematode Worms Using Skeleton Analysis , 2008, ICIAR.

[23]  Mark Blaxter,et al.  Molecular barcodes for soil nematode identification , 2002, Molecular ecology.

[24]  I. Andrássy Free-living nematodes of Hungary (Nematoda errantia) , 2005 .

[25]  Xiaoyan Liu,et al.  Classification of multi-focal nematode image stacks using a projection based multilinear approach , 2017, 2017 IEEE International Conference on Image Processing (ICIP).

[26]  Aleksandra Pizurica,et al.  Edge Linking Based Method to Detect and Separate Individual C. Elegans Worms in Culture , 2008, 2008 Digital Image Computing: Techniques and Applications.

[27]  Xiaoyan Liu,et al.  Multi-focal nematode image stack classification using a projection-based multi-linear method , 2017, Machine Vision and Applications.

[28]  High throughput nematode counting with automated image processing , 2016, BioControl.

[29]  Daniel Ochoa,et al.  Contour Energy Features for Recognition of Biological Specimens in Population Images , 2007, ICIAR.

[30]  Joong-Hwan Baek,et al.  An Automatic Nematode Identification Method Based on Locomotion Patterns , 2006, ICIC.

[31]  A. Coomans Present status and future of nematode systematics , 2002 .

[32]  J. Vanfleteren,et al.  Disentangling taxonomy within the Rhabditis (Pellioditis) marina (Nematoda, Rhabditidae) species complex using molecular and morhological tools , 2008 .

[33]  M. Blaxter The promise of a DNA taxonomy. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[34]  J. Seinhorst On the Killing, Fixation and Transferring To Glycerin of Nematodes , 1962 .

[35]  D. Riddle,et al.  Developmental Genetics of the Germ Line -- C. elegans II , 1997 .

[36]  Min Liu,et al.  Classification of nematode image stacks by an information fusion based multilinear approach , 2017, Pattern Recognit. Lett..

[37]  Min Liu,et al.  Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach , 2018, Comput. Methods Programs Biomed..

[38]  Johannes Helder,et al.  Phylum-wide analysis of SSU rDNA reveals deep phylogenetic relationships among nematodes and accelerated evolution toward crown Clades. , 2006, Molecular biology and evolution.

[39]  Ashutosh Kumar Singh,et al.  A deep learning framework to discern and count microscopic nematode eggs , 2018, Scientific Reports.

[40]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[41]  B. Sohlenius,et al.  Vertical distribution of nematodes in arable soil under grass (Festuca pratensis) and barley (Hordeum distichum) , 1987, Biology and Fertility of Soils.