Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy

@article{Forslid2017DeepCN,
  title={Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy},
  author={Gustav Forslid and H{\aa}kan Wieslander and E. Bengtsson and Carolina W{\"a}hlby and J. Hirsch and C. Stark and Sajith Kecheril Sadanandan},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={82-89}
}
  • Gustav Forslid, Håkan Wieslander, +4 authors Sajith Kecheril Sadanandan
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
  • Discovering cancer at an early stage is an effective way to increase the chance of survival. However, since most screening processes are done manually it is time inefficient and thus a costly process. One way of automizing the screening process could be to classify cells using Convolutional Neural Networks. Convolutional Neural Networks have been proven to be accurate for image classification tasks. Two datasets containing oral cells and two datasets containing cervical cells were used. For the… CONTINUE READING
    Nitric oxide and the A and B of endothelin of sodium homeostasis
    18
    A Survey for Cervical Cytopathology Image Analysis Using Deep Learning
    1

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 28 REFERENCES
    Park's Textbook of Preventive and Social Medicine
    1785
    Experiment study on influence of trigger current on conduction characteristics of triggered vacuum switches
    • 2017