Understanding the Tricks of Deep Learning in Medical Image Segmentation:
Challenges and Future Directions

Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions

21 September 2022

Dong-Ming Zhang

Hao Chen

Xin Yang

Kwang-Ting Cheng

Papers citing "Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions"

19 / 19 papers shown

Title
LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model Senqiao Yang Tianyuan Qu Xin Lai Zhuotao Tian Bohao Peng Shu-Lin Liu Jiaya Jia VLM 21 28 0 28 Dec 2023
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation Yi-Mou Lin Dong-Ming Zhang Xiaori Fang Yufan Chen Kwang-Ting Cheng Hao Chen ViT MedIm 19 27 0 01 May 2023
Segment Anything Model for Medical Images? Yuhao Huang Yitian Zhao Lei Mou H. Fu Ao Chang ... Lei Li Vicente Grau M. Akiba Fajin Dong Jiang-Dong Liu VLM 75 29 0 28 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 276 0 26 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 328 500 0 13 Jul 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 869 0 16 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 23 387 0 08 Feb 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 Jan 2021
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 94 575 0 10 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 210 1,391 0 04 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,150 0 09 Jun 2011