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Equipping Computational Pathology Systems with Artifact Processing
  Pipelines: A Showcase for Computation and Performance Trade-offs

Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs

12 March 2024
Neel Kanwal
Farbod Khoraminia
Umay Kiraz
Andrés Mosquera-Zamudio
Carlos Monteagudo
Emiel A. M. Janssen
T. Zuiverloon
Chunmig Rong
K. Engan
    MoE
ArXivPDFHTML

Papers citing "Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs"

5 / 5 papers shown
Title
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
248
618
0
21 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation
  and Analysis
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened
Avinash Kori
Haran Rajkumar
Balaji Srinivasan
Ganapathy Krishnamurthi
MedIm
LM&MA
199
161
0
01 Jan 2020
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
278
10,544
0
19 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
1