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m2caiSeg: Semantic Segmentation of Laparoscopic Images using
  Convolutional Neural Networks

m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks

23 August 2020
Salman Maqbool
Aqsa Riaz
Hasan Sajid
Osman Hasan
ArXivPDFHTML

Papers citing "m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks"

4 / 4 papers shown
Title
CholecTriplet2022: Show me a tool and tell me the triplet -- an
  endoscopic vision challenge for surgical action triplet detection
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
C. Nwoye
Tong Yu
Saurav Sharma
Aditya Murali
Deepak Alapatt
...
Pietro Mascagni
B. Seeliger
Cristians Gonzalez
Didier Mutter
N. Padoy
32
17
0
13 Feb 2023
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds
  Representing Laparoscopic Scenes
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes
Bastian Alt
Christian Kunz
Darko Katic
Rayan Younis
Rainer Jäkel
Beat Peter Müller-Stich
M. Wagner
F. Mathis-Ullrich
3DPC
24
0
0
15 Jul 2022
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
188
840
0
09 Feb 2016
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