论文信息 - The Use of Deep Learning for Segmentation of Bone Marrow Histological Images

The Use of Deep Learning for Segmentation of Bone Marrow Histological Images

Proposed solution gives the segmentation of bone marrow histological images, required for further analysis via different methods. Proposed algorithm is based on deep learning using Convolutional Neural Network. More then 50 of ConvNNs where tested with different configurations and learning parameters (learning rate, weight decay). Obtained effectiveness is more then 92%.

Dorota Oszutowska-Mazurek | Oktawian Knap

[1] Stephen J. McKenna,et al. Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

[2] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.

[3] B. van Ginneken,et al. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis , 2016, Scientific Reports.

[4] Andrew Janowczyk,et al. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases , 2016, Journal of pathology informatics.

[5] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..

[6] Christopher Malon,et al. Identifying histological elements with convolutional neural networks , 2008, CSTST.

[7] Brendan J. Frey,et al. Classifying and segmenting microscopy images with deep multiple instance learning , 2015, Bioinform..

[8] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[9] Nasir M. Rajpoot,et al. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images , 2016, IEEE Trans. Medical Imaging.