Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data

18 March 2023

Papers citing "Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data"

18 / 18 papers shown

Title
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 99 355 0 13 May 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 158 469 0 26 Jan 2022
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology Joseph Boyd Mykola Liashuha Eric Deutsch Nikos Paragios Stergios Christodoulidis Maria Vakalopoulou MedIm 44 35 0 07 Sep 2021
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding Liyan Sun Chenxin Li Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 55 112 0 10 Dec 2020
G2D: Generate to Detect Anomaly M. PourReza Bahram Mohammadi Mostafa Khaki Samir Bouindour H. Snoussi Mohammad Sabokrou 34 62 0 20 Jun 2020
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images Ye Tian Li Yang Wei Wang Jing Zhang Qing Tang Mili Ji Yang Yu Yu Li Hong Yang A. Qian 24 11 0 27 May 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 34 1,254 0 04 Apr 2019
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 48 661 0 05 Jul 2018
Cancer Metastasis Detection With Neural Conditional Random Field Yi Li Ming-Yu Liu MedIm 35 100 0 19 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 248 666 0 07 Jun 2018
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer Byungjae Lee K. Paeng 30 55 0 30 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 57 1,377 0 17 May 2018
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 61 2,219 0 17 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 213 8,072 0 15 Mar 2017
Deep Learning for Identifying Metastatic Breast Cancer Dayong Wang A. Khosla Rishab Gargeya H. Irshad Andrew H. Beck MedIm 49 940 0 18 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 290 7,299 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 263 7,951 0 23 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 813 149,474 0 22 Dec 2014