Relational Learning between Multiple Pulmonary Nodules via Deep Set
Attention Transformers

Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers

12 April 2020

ArXiv (abs)PDF HTML

Papers citing "Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers"

9 / 9 papers shown

Title
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review Hazrat Ali Farida Mohsen Zubair Shah LM&MA MedIm 65 28 0 06 Sep 2023
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection Chuang Niu Ge Wang ViT MedIm 89 37 0 30 Apr 2022
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection Arshi Parvaiz Muhammad Anwaar Khalid Rukhsana Zafar Huma Ameer M. Ali M. Fraz MedIm 79 64 0 29 Mar 2022
Faithful learning with sure data for lung nodule diagnosis Hanxiao Zhang Liang Chen Xiao Gu Minghui Zhang Yulei Qin Feng Yao Zhexin Wang Yun Gu Guangyao Yang 39 1 0 25 Feb 2022
Transformers in Medical Image Analysis: A Review Kelei He Chen Gan Zhuoyuan Li I. Rekik Zihao Yin Wen Ji Yang Gao Qian Wang Junfeng Zhang Dinggang Shen ViT MedIm 134 278 0 24 Feb 2022
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification Hanliang Jiang Fuhao Shen Fei Gao Weidong Han 59 86 0 19 Jan 2021
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response Jiancheng Yang Jiajun Chen Kaiming Kuang Tiancheng Lin Junjun He Bingbing Ni 53 9 0 08 Oct 2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study Jiancheng Yang Mingze Gao Kaiming Kuang Bingbing Ni Y. She D. Xie Chang Chen 22 7 0 08 Oct 2020
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes Jiancheng Yang Yi He Xiaoyang Huang Jingwei Xu X. Ye G. Tao Bingbing Ni MedIm 68 18 0 05 May 2020