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

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
ArXivPDFHTML

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

3 / 3 papers shown
Title
A Nasal Cytology Dataset for Object Detection and Deep Learning
A Nasal Cytology Dataset for Object Detection and Deep Learning
M. Camporeale
Giovanni Dimauro
Matteo Gelardi
Giorgia Iacobellis
Mattia Sebastiano Ladisa
Sergio Latrofa
Nunzia Lomonte
21
0
0
21 Apr 2024
Comparative analysis of deep learning approaches for AgNOR-stained
  cytology samples interpretation
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation
João Gustavo Atkinson Amorim
André Victória Matias
Allan Cerentini
Luiz Antonio Buschetto Macarini
A. S. Onofre
F. Onofre
A. V. Wangenheim
13
0
0
19 Oct 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
1