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An Aggregation of Aggregation Methods in Computational Pathology

An Aggregation of Aggregation Methods in Computational Pathology

2 November 2022
M. Bilal
R. Jewsbury
Ruoyu Wang
Hammam M. AlGhamdi
Amina Asif
Mark Eastwood
Nasir M. Rajpoot
ArXivPDFHTML

Papers citing "An Aggregation of Aggregation Methods in Computational Pathology"

10 / 10 papers shown
Title
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation
Shabalin Carmel
Shenkman Israel
Shelef Ilan
Ben-Arie Gal
Alex Geftler
Shahar Yuval
MedIm
35
0
0
03 Jan 2025
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
C. Jin
Luyang Luo
Huangjing Lin
Jun Hou
Hao Chen
38
3
0
12 Nov 2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels
  for Pan-Cancer Predictive Modelling
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
Piotr Keller
Muhammad Dawood
B. Chohan
F. Minhas
VLM
21
1
0
09 Aug 2024
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 2023
A graph-transformer for whole slide image classification
A graph-transformer for whole slide image classification
Yi Zheng
R. Gindra
Emily J. Green
E. Burks
Margrit Betke
J. Beane
V. Kolachalama
MedIm
39
121
0
19 May 2022
Local Attention Graph-based Transformer for Multi-target Genetic
  Alteration Prediction
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
Daniel Reisenbüchler
S. J. Wagner
Melanie Boxberg
T. Peng
MedIm
24
22
0
13 May 2022
Self supervised learning improves dMMR/MSI detection from histology
  slides across multiple cancers
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
32
39
0
13 Sep 2021
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
27
173
0
03 Sep 2019
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
255
36,362
0
25 Aug 2016
Classifying and Segmenting Microscopy Images Using Convolutional
  Multiple Instance Learning
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
161
392
0
17 Nov 2015
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