HR-ASPP: An improved semantic segmentation model of cervical nucleus images with accurate spatial localization and better shape feature extraction based on Deeplabv3+

Author:

Zhang Jianyu1ORCID,Hu Hexuan1ORCID,Yang Tianjin1ORCID,Hu Qiang1ORCID,Yu Yufeng1ORCID,Huang Qian1ORCID

Affiliation:

1. Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and College of Computer and Information, Hohai University, China

Publisher

ACM

Reference44 articles.

1. Cheng S , Liu S , Yu J , Robust whole slide image analysis for cervical cancer screening using deep learning[J]. Nature communications , 2021 , 12(1): 1-10. Cheng S, Liu S, Yu J, Robust whole slide image analysis for cervical cancer screening using deep learning[J]. Nature communications, 2021, 12(1): 1-10.

2. DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques

3. Song Y , Tan E L , Jiang X , Accurate cervical cell segmentation from overlapping clumps in pap smear images[J] . IEEE transactions on medical imaging, 2016 , 36(1): 288-300. Song Y, Tan E L, Jiang X, Accurate cervical cell segmentation from overlapping clumps in pap smear images[J]. IEEE transactions on medical imaging, 2016, 36(1): 288-300.

4. Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

5. Automated detection and classification of cervical cancer using pap smear microscopic images: a comprehensive review and future perspectives[J];Shanthi P B;Engineered Science,2022

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