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Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and
  Multi-Lens Distortion

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion

20 June 2024
Soroush Oskouei
Marit Valla
André Pedersen
Erik Smistad
V. G. Dale
Maren Høibø
Sissel Gyrid Freim Wahl
Mats Dehli Haugum
T. Langø
M. Ramnefjell
L. A. Akslen
Gabriel Kiss
H. Sorger
ArXivPDFHTML

Papers citing "Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion"

12 / 12 papers shown
Title
InternImage: Exploring Large-Scale Vision Foundation Models with
  Deformable Convolutions
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang
Jifeng Dai
Zhe Chen
Zhenhang Huang
Zhiqi Li
...
Tong Lu
Lewei Lu
Hongsheng Li
Xiaogang Wang
Yu Qiao
VLM
98
677
0
10 Nov 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri
Malik Boudiaf
S. Mohammadi
Ivaxi Sheth
Mohammad Havaei
Ismail Ben Ayed
Samira Ebrahimi Kahou
OOD
VLM
61
22
0
31 May 2022
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
112
1,696
0
24 Mar 2021
FastPathology: An open-source platform for deep learning-based research
  and decision support in digital pathology
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
André Pedersen
Marit Valla
A. Bofin
Javier Pérez de Frutos
Ingerid Reinertsen
Erik Smistad
41
17
0
11 Nov 2020
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image
  Segmentation
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation
D. J. Ho
D. V. K. Yarlagadda
Timothy D’alfonso
M. Hanna
Anne Grabenstetter
Peter Ntiamoah
E. Brogi
L. Tan
Thomas J. Fuchs
27
107
0
29 Oct 2019
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedIm
OOD
37
478
0
18 Feb 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
173
8,807
0
25 Aug 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
122
5,920
0
04 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
497
27,231
0
02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
954
99,991
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
329
15,825
0
12 Nov 2013
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