Noise-reducing attention cross fusion learning transformer for
histological image classification of osteosarcoma

Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma

29 April 2022

M. Chongcheawchamnan

Papers citing "Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma"

14 / 14 papers shown

Title
On the Integration of Self-Attention and Convolution Xuran Pan Chunjiang Ge Rui Lu S. Song Guanfu Chen Zeyi Huang Gao Huang SSL 118 298 0 29 Nov 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen Quanfu Fan Yikang Shen ViT 64 1,450 0 27 Mar 2021
A Deep Learning Study on Osteosarcoma Detection from Histological Images D. Anisuzzaman H. Barzekar Ling Tong Jake Luo Zeyun Yu MedIm 22 63 0 02 Nov 2020
Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network Liangrui Pan Pronthep Pipitsunthonsan C. Daengngam M. Chongcheawchamnan 28 12 0 29 Oct 2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment D. J. Ho Narasimhan P. Agaram P. Schueffler Chad M. Vanderbilt M. Jean M. Hameed Thomas J. Fuchs 26 36 0 02 Jul 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 106 3,996 0 10 Apr 2020
Deep Learning vs. Traditional Computer Vision Niall O' Mahony S. Campbell A. Carvalho S. Harapanahalli G. Velasco-Hernández L. Krpalkova Daniel Riordan Joseph Walsh VLM 38 897 0 30 Oct 2019
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 52 1,626 0 25 Nov 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 211 3,160 0 20 Jun 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 167 19,124 0 13 Jan 2018
Deep Learning for Medical Image Processing: Overview, Challenges and Future M. I. Razzak S. Naz Ahmad Zaib 54 1,001 0 22 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 963 14,493 0 07 Oct 2016
Medical image denoising using convolutional denoising autoencoders Lovedeep Gondara MedIm 38 563 0 16 Aug 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 147 5,184 0 22 Dec 2015