A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer

25 May 2022

Xinyu Huang

Papers citing "A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer"

21 / 21 papers shown

Title
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features Frank Kulwa Chen Li M. Grzegorzek M. Rahaman Kimiaki Shirahama S. Kosov 52 8 0 31 Aug 2022
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron Wanli Liu Chen Li N. Xu Tao Jiang M. Rahaman ... Weiming Hu Hao Chen Changhao Sun Yudong Yao M. Grzegorzek 46 137 0 02 Jun 2022
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis Jiamin Liang Xin Yang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Wufeng Xue Jun Cheng Dong Ni DiffM GAN MedIm 30 80 0 14 Apr 2022
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images Jiawei Zhang N. Xu Chen Li M. Rahaman Yuhong Yao Yu-Hao Lin Jinghua Zhang Tao Jiang M. Grzegorzek Wenjun Qin 39 7 0 04 Apr 2022
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers Penghui Zhao Chen Li M. Rahaman Hao Xu Hechen Yang Hongzan Sun Tao Jiang M. Grzegorzek VLM 48 39 0 16 Jul 2021
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers Hechen Yang Chen Li Jinghua Zhang Penghui Zhao Ao Chen Xin Zhao Tao Jiang M. Grzegorzek 51 1 0 22 Jun 2021
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer Weiming Hu Chen Li Xiaoyan Li M. Rahaman Jiquan Ma ... Wanli Liu Changhao Sun Yudong Yao Hongzan Sun M. Grzegorzek 33 70 0 04 Jun 2021
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers Wanli Liu Chen Li M. Rahaman Tao Jiang Hongzan Sun ... Weiming Hu Hao Chen Changhao Sun Yudong Yao M. Grzegorzek 53 54 0 16 May 2021
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches Pingli Ma Chen Li M. Rahaman Yudong Yao Jiawei Zhang Shuojia Zou Xin Zhao M. Grzegorzek 50 63 0 07 May 2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection Hao Chen Chen Li Ge Wang Xirong Li M. Rahaman ... Yixin Li Wanli Liu Changhao Sun Shiliang Ai M. Grzegorzek ViT MedIm 53 186 0 29 Apr 2021
TransMed: Transformers Advance Multi-modal Medical Image Classification Yin Dai Yifan Gao ViT MedIm 53 284 0 10 Mar 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches Chen Li Xintong Li M. Rahaman Xirong Li Hongzan Sun ... Yong Zhang Xiaoqi Li Jian Wu Yudong Yao M. Grzegorzek 64 196 0 21 Feb 2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification Yixin Li Xinran Wu Chen Li Changhao Sun M. Rahaman Hao Chen Yudong Yao Xiaoyan Li Yong Zhang Tao Jiang 52 25 0 21 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 342 40,217 0 22 Oct 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks Xiaomin Zhou Chen Li M. Rahaman Yudong Yao Shiliang Ai Changhao Sun Xiaoyan Li Qian Wang Tao Jiang 66 135 0 27 Mar 2020
Gastric histopathology image segmentation using a hierarchical conditional random field Changhao Sun Chen Li Jinghua Zhang Muhammad Rahaman Shiliang Ai Hao Chen Frank Kulwa Yixin Li Xiaoyan Li Tao Jiang 58 47 0 03 Mar 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 35 164 0 20 Feb 2020
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 31 4,587 0 10 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 473 27,231 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 920 99,991 0 04 Sep 2014