Oral cancer detection and interpretation: Deep multiple instance
learning versus conventional deep single instance learning

Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning

3 February 2022

Natavsa Sladoje

Vladimir Bavsić

Joakim Lindblad

ArXiv (abs)PDF HTML Github (3★)

Papers citing "Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning"

12 / 12 papers shown

Title
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 101 679 0 02 Jun 2021
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 93 621 0 17 Nov 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Richard J. Chen Matteo Barbieri Faisal Mahmood 128 1,328 0 20 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 553 42,639 0 03 Dec 2019
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images Jiahao Lu Natavsa Sladoje Christina Runow Stark E. D. Ramqvist Jan-Michaél Hirsch Joakim Lindblad MedIm 39 31 0 23 Oct 2019
Cold Case: The Lost MNIST Digits Chhavi Yadav Léon Bottou 72 106 0 25 May 2019
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 160 1,988 0 18 Sep 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 81 752 0 17 Apr 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 182 1,827 0 13 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 803 132,454 0 12 Jun 2017
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 159 7,501 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015