SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models
for Multi-Label Chest X-Ray Classification

v1v2v3 (latest)

SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification

13 November 2023

S. M. N. Ashraf

Md. Adyelullahil Mamun

Hasnat Md. Abdullah

ArXiv (abs)PDF HTML Github (6★)

Papers citing "SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification"

19 / 19 papers shown

Title
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer Xinran Li Yu Liu Xiujuan Xu Xiaowei Zhao ViT MedIm 92 1 0 16 May 2025
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Sanghyun Woo Shoubhik Debnath Ronghang Hu Xinlei Chen Zhuang Liu In So Kweon Saining Xie SyDa 154 811 0 02 Jan 2023
MaxViT: Multi-Axis Vision Transformer Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li ViT 136 670 0 04 Apr 2022
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 221 1,826 0 18 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 477 7,827 0 11 Nov 2021
VOLO: Vision Outlooker for Visual Recognition Li-xin Yuan Qibin Hou Zihang Jiang Jiashi Feng Shuicheng Yan ViT 116 327 0 24 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 141 1,212 0 09 Jun 2021
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 100 293 0 14 Feb 2020
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 79 58 0 31 Mar 2019
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li Li F. Li 62 329 0 17 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 99 2,712 0 14 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 71 335 0 28 Oct 2017
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans Monika Grewal Muktabh Mayank Srivastava Pulkit Kumar Srikrishna Varadarajan MedIm 65 197 0 13 Oct 2017
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks Pranav Rajpurkar Awni Y. Hannun Masoumeh Haghpanahi Codie Bourn A. Ng 67 748 0 06 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 800 132,454 0 12 Jun 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 188 2,546 0 05 May 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 803 36,892 0 25 Aug 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 233 2,540 0 03 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014