Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

27 April 2021

Papers citing "Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation"

8 / 8 papers shown

Title
Disease-informed Adaptation of Vision-Language Models Jiajin Zhang Ge Wang M. Kalra P. Yan VLM 24 2 0 24 May 2024
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 21 5 0 01 May 2023
Directional Connectivity-based Segmentation of Medical Images Ziyun Yang Sina Farsiu 13 35 0 31 Mar 2023
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 12 12 0 26 Sep 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 17 48 0 04 May 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Pingping Dai Licong Dong Ruihan Zhang Haiming Zhu Jie Wu Kehong Yuan MedIm 11 4 0 20 Mar 2022
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu X. Li Kwang-Ting Cheng 18 13 0 22 Nov 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015