What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review

24 May 2021

André Victória Matias

João Gustavo Atkinson Amorim

Luiz Antonio Buschetto Macarini

Allan Cerentini

A. S. Onofre

F. Onofre

Felipe Perozzo Daltoé

M. Stemmer

A. V. Wangenheim

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Papers citing "What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review"

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Title
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation D. Powers 126 5,240 0 11 Oct 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images Navid Alemi Koohbanani Mostafa Jahanifar Neda Zamani Tajadin Nasir M. Rajpoot 49 122 0 29 May 2020
Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images Luiz Antonio Buschetto Macarini A. V. Wangenheim Felipe Perozzo Daltoé A. S. Onofre F. Onofre M. Stemmer 29 4 0 19 Feb 2020
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network Yao Xiang Wan-Wan Sun Changli Pan Meng Yan Zhihua Yin Yixiong Liang 26 72 0 14 Dec 2019
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation Jie Zhao Lei Dai Mo Zhang Fei Yu Meng Li Hongfeng Li Wei Cao Li Zhang 42 28 0 04 Nov 2019
Deep Learning vs. Traditional Computer Vision Niall O' Mahony S. Campbell A. Carvalho S. Harapanahalli G. Velasco-Hernández L. Krpalkova Daniel Riordan Joseph Walsh VLM 38 897 0 30 Oct 2019
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images Jiahao Lu Natavsa Sladoje Christina Runow Stark E. D. Ramqvist Jan-Michaél Hirsch Joakim Lindblad MedIm 31 31 0 23 Oct 2019
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images Sudhir Sornapudi G. Brown Z. Xue L. Long Lisa Allen Sameer Kiran Antani 29 26 0 02 Oct 2019
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation Yanning Zhou Hao Chen Jiaqi Xu Qi Dou Pheng-Ann Heng ISeg 46 43 0 19 Aug 2019
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model Jie Zhao Quanzheng Li Xiang Li Hongfeng Li Li Zhang 47 36 0 03 Dec 2018
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks Haoming Lin Yuyang Hu Siping Chen Jianhua Yao Ling Zhang 25 88 0 14 Oct 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 146 2,438 0 06 Sep 2018
Deep learning in agriculture: A survey A. Kamilaris F. Prenafeta-Boldú 61 2,973 0 31 Jul 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 82 3,978 0 15 Jul 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 98 21,306 0 08 Apr 2018
DeepPap: Deep Convolutional Networks for Cervical Cell Classification Ling Zhang Le Lu Isabella Nogues Ronald M. Summers Shaoxiong Liu Jianhua Yao 45 386 0 25 Jan 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 108 2,993 0 07 Aug 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 567 27,231 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 852 15,718 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 356 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 197 3,414 0 14 May 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 299 43,290 0 01 May 2014