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Segmentation of Weakly Visible Environmental Microorganism Images Using
  Pair-wise Deep Learning Features

Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features

31 August 2022
Frank Kulwa
Chen Li
M. Grzegorzek
M. Rahaman
Kimiaki Shirahama
S. Kosov
ArXivPDFHTML

Papers citing "Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features"

3 / 3 papers shown
Title
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and
  Eosin Image Dataset for Image Segmentation Tasks
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
Li Shi
Xirong Li
W. Hua
Hao Chen
Jing Chen
...
Hongzan Sun
M. Grzegorzek
Shouliang Qi
Yueyang Teng
Chen Li
25
21
0
01 Dec 2022
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for
  Multiple Object Detection Evaluation
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation
Hechen Yang
Chen Li
Xin Zhao
Bencheng Cai
Jiawei Zhang
...
Hongzan Sun
Yueyang Teng
Shouliang Qi
Tao Jiang
M. Grzegorzek
36
10
0
11 Oct 2021
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
446
15,639
0
02 Nov 2015
1