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CapillaryX: A Software Design Pattern for Analyzing Medical Images in
  Real-time using Deep Learning

CapillaryX: A Software Design Pattern for Analyzing Medical Images in Real-time using Deep Learning

13 April 2022
Maged Abdalla Helmy Abdou
Paulo Ferreira
E. Jul
T. Truong
ArXiv (abs)PDFHTML

Papers citing "CapillaryX: A Software Design Pattern for Analyzing Medical Images in Real-time using Deep Learning"

11 / 11 papers shown
Title
The Computational Limits of Deep Learning
The Computational Limits of Deep Learning
Neil C. Thompson
Kristjan Greenewald
Keeheon Lee
Gabriel F. Manso
VLM
55
529
0
10 Jul 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
91
498
0
12 Feb 2020
A performance comparison of Dask and Apache Spark for data-intensive
  neuroimaging pipelines
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré
Valérie Hayot-Sasson
Tristan Glatard
20
13
0
30 Jul 2019
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
103
1,279
0
08 Nov 2018
Machine Learning Algorithms for Classification of Microcirculation
  Images from Septic and Non-Septic Patients
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients
Perikumar Javia
Lukasz Tulczyjew
Michal Marcinkiewicz
J. Nalepa
23
13
0
24 Oct 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
161
5,068
0
11 Apr 2018
TensorFlow-Serving: Flexible, High-Performance ML Serving
TensorFlow-Serving: Flexible, High-Performance ML Serving
Christopher Olston
Noah Fiedel
Kiril Gorovoy
Jeremiah Harmsen
Li Lao
Fangwei Li
Vinu Rajashekhar
Sukriti Ramesh
Jordan Soyke
53
312
0
17 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
...
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
GNN
110
1,268
0
16 Dec 2017
Real-Time Machine Learning: The Missing Pieces
Real-Time Machine Learning: The Missing Pieces
Robert Nishihara
Philipp Moritz
Stephanie Wang
Alexey Tumanov
William Paul
Johann Schleier-Smith
Richard Liaw
Mehrdad Niknami
Michael I. Jordan
Ion Stoica
OffRL
57
64
0
11 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
705
10,826
0
19 Feb 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
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