Chinese Journal of Lasers, Volume. 50, Issue 15, 1507203(2023)
Abnormal Cervical Cell Detection Algorithm Based on Improved RetinaNet
[2] Sung H, Ferlay J, Siegel R L et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA: a Cancer Journal for Clinicians, 71, 209-249(2021).
[3] Bedell S L, Goldstein L S, Goldstein A R et al. Cervical cancer screening: past, present, and future[J]. Sexual Medicine Reviews, 8, 28-37(2020).
[4] Adweb K M A, Cavus N, Sekeroglu B. Cervical cancer diagnosis using very deep networks over different activation functions[J]. IEEE Access, 9, 46612-46625(2021).
[5] Su J, Xu X, He Y J et al. Automatic detection of cervical cancer cells by a two-level cascade classification system[J]. Analytical Cellular Pathology, 2016, 9535027(2016).
[6] Chankong T, Theera-Umpon N, Auephanwiriyakul S. Automatic cervical cell segmentation and classification in Pap smears[J]. Computer Methods and Programs in Biomedicine, 113, 539-556(2014).
[7] Duan Z J, Li S B, Hu J J et al. Review of deep learning based object detection methods and their mainstream frameworks[J]. Laser & Optoelectronics Progress, 57, 120005(2020).
[8] He Z F, Chen G C, Chen J S et al. Multi-scale feature fusion lightweight real-time infrared pedestrian detection at night[J]. Chinese Journal of Lasers, 49, 1709002(2022).
[9] Liu F, Han M, Wan J et al. Automatic detection of dental lesions based on deep learning[J]. Chinese Journal of Lasers, 49, 2007207(2022).
[10] Xu Z J, Bai X. Small ship target detection method for remote sensing images based on dual feature enhancement[J]. Acta Optica Sinica, 42, 1828002(2022).
[12] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).
[13] Yin Y L, Zhao L. Atypical squamous cells detection based on improved Faster R-CNN[J]. Intelligent Computer and Applications, 11, 7-13(2021).
[14] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).
[15] Cao L, Yang J Y, Rong Z W et al. A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening[J]. Medical Image Analysis, 73, 102197(2021).
[16] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 318-327(2020).
[17] Zhang H, Wu C R, Zhang Z Y et al. ResNeSt: split-attention networks[C], 2735-2745(2022).
[18] Pang J M, Chen K, Shi J P et al. Libra R-CNN: towards balanced learning for object detection[C], 821-830(2020).
[19] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).
[21] Lin T Y, Maire M, Belongie S et al. Microsoft COCO: common objects in context[M]. Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science, 8693, 740-755(2014).
[22] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. https:∥arxiv.org/abs/1804.02767
[23] Cai Z W, Vasconcelos N. Cascade R-CNN: delving into high quality object detection[C], 6154-6162(2018).
[24] Tian Z, Shen C H, Chen H et al. FCOS: a simple and strong anchor-free object detector[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 1922-1933(2022).
[25] Nguyen C H, Nguyen T C, Tang T N et al. Improving object detection by label assignment distillation[C], 1322-1331(2022).
[26] Feng C J, Zhong Y J, Gao Y et al. TOOD: task-aligned one-stage object detection[C], 3490-3499(2022).
[27] Chen Z H, Yang C, Li Q F et al. Disentangle your dense object detector[C], 4939-4948(2021).
Get Citation
Copy Citation Text
Runkun Liu, Shijie Dang, Hongyuan Zhang, Yinyin Niu, Guanxun Mi, Sanhua Li, Zhenxin Chen, Lingxiao Zhao, Peng Li. Abnormal Cervical Cell Detection Algorithm Based on Improved RetinaNet[J]. Chinese Journal of Lasers, 2023, 50(15): 1507203
Category: Optical Diagnostics and Therapy
Received: Feb. 27, 2023
Accepted: Apr. 25, 2023
Published Online: Aug. 8, 2023
The Author Email: Zhao Lingxiao (hitic@sibet.ac.cn)