Pap smear classification using combination of global significant value, texture statistical features and time series features

Author:

Fekri-Ershad ShervanORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference31 articles.

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2. Arya M, Mittal N, Singh G (2018) Clustering techniques on pap smear images for the detection of cervical Cancer. J Biol Today’s World 7(1):30–35. https://doi.org/10.15412/J.JBTW.01070106

3. Athinarayanan S, Srinath M, Kavitha R (2016) Computer aided diagnosis for detection and stage identification of cervical cancer by using pap smear screening test images. Journal on Image & Video Processing 6(4)

4. Attig A., Perner P., (2011) A comparison between haralick's texture descriptor and the texture descriptor based on random sets for biological images. Proc international workshop on machine learning and data Mining in Pattern Recognition: 524-538. doi: https://doi.org/10.1007/978-3-642-23199-5_39

5. Bhargava A, Gairola P, Vyas G, Bhan A (2018) Computer aided diagnosis of cervical cancer using HoG features and multi classifiers. Intell Commun Contrl Dev 624:1491–1502

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