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Detection of prostate cancer in whole-slide images through end-to-end
  training with image-level labels

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

5 June 2020
H. Pinckaers
W. Bulten
J. A. van der Laak
G. Litjens
    MedIm
ArXivPDFHTML

Papers citing "Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels"

14 / 14 papers shown
Title
Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models
Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models
Hussien Al-Asi
Jordan P Reynolds
Shweta Agarwal
Bryan J Dangott
Aziza Nassar
Zeynettin Akkus
LM&MA
42
0
0
13 May 2025
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature
  Fine-tuning for Whole Slide Image Classification
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification
Xuenian Wang
Shanshan Shi
Renao Yan
Qiehe Sun
Lianghui Zhu
Tian Guan
Yonghong He
34
0
0
02 Jun 2024
Beyond Multiple Instance Learning: Full Resolution All-In-Memory
  End-To-End Pathology Slide Modeling
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling
Gabriele Campanella
Eugene Fluder
Jennifer Zeng
Chad M. Vanderbilt
Thomas J. Fuchs
MedIm
38
0
0
07 Mar 2024
Hierarchical Vision Transformers for Context-Aware Prostate Cancer
  Grading in Whole Slide Images
Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images
Clément Grisi
G. Litjens
Jeroen van der Laak
MedIm
17
1
0
19 Dec 2023
Learning to Holistically Detect Bridges from Large-Size VHR Remote
  Sensing Imagery
Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery
Yansheng Li
Junwei Luo
Yongjun Zhang
Yihua Tan
Jin-Gang Yu
Song Bai
38
21
0
05 Dec 2023
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting
  Cancer Biomarkers using Sequencer Architecture
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture
M. Cen
Xingyu Li
Bangwei Guo
J. Jonnagaddala
Hong Zhang
Xuesong Xu
MedIm
24
0
0
03 May 2023
Time to Embrace Natural Language Processing (NLP)-based Digital
  Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep
  Learning Pipelines
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
M. Cen
Xingyu Li
Bangwei Guo
J. Jonnagaddala
Hong Zhang
Xuesong Xu
MedIm
LM&MA
19
0
0
21 Feb 2023
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A
  Practical Review
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Heather D. Couture
50
20
0
27 Nov 2022
Preparing data for pathological artificial intelligence with
  clinical-grade performance
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang
K. Sun
Yanhua Gao
Kuang-Heng Wang
Gang Yu
OOD
32
1
0
22 May 2022
End-to-end Multiple Instance Learning with Gradient Accumulation
End-to-end Multiple Instance Learning with Gradient Accumulation
Axel Andersson
N. Koriakina
Natavsa Sladoje
Joakim Lindblad
24
6
0
08 Mar 2022
Weakly-supervised Generative Adversarial Networks for medical image
  classification
Weakly-supervised Generative Adversarial Networks for medical image classification
Jia-min Mao
Xuesong Yin
Yuan Chang
Qi Huang
GAN
MedIm
19
1
0
29 Nov 2021
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD
  classification directly from H&E whole-slide images in colorectal and breast
  cancer
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
Yoni Schirris
E. Gavves
I. Nederlof
H. Horlings
Jonas Teuwen
27
93
0
20 Jul 2021
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
40
35
0
11 Jan 2021
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
26
69
0
07 Dec 2020
1