Explanations of Classifiers Enhance Medical Image Segmentation via
End-to-end Pre-training

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training

16 January 2024

Haoyi Xiong

Papers citing "Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training"

6 / 6 papers shown

Title
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract) Yuchen Li Haoyi Xiong Linghe Kong Jiang Bian Shuaiqiang Wang Guihai Chen Dawei Yin 22 0 0 25 Sep 2024
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract) Yuchen Li Haoyi Xiong Linghe Kong Zeyi Sun Hongyang Chen Shuaiqiang Wang Dawei Yin 41 0 0 25 Sep 2024
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling Yuan Liu Songyang Zhang Jiacheng Chen Kai-xiang Chen Dahua Lin 61 27 0 04 Mar 2023
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015