Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation

17 November 2023

Papers citing "Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation"

7 / 7 papers shown

Title
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model Yiwen Ye Ziyang Chen Jianpeng Zhang Yutong Xie Yong Xia MedIm 37 3 0 08 Oct 2024
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification Sharon Peled Y. Maruvka Moti Freiman 21 1 0 17 Sep 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 24 1 0 23 Jul 2024
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography Jie Liu Yixiao Zhang Kang Wang Mehmet Can Yavuz Xiaoxi Chen ... Haoliang Li Yang Yang Alan L. Yuille Yucheng Tang Zongwei Zhou MedIm VLM 40 16 0 28 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation Xiaoyang Chen Hao Zheng Yifang Xie Yuncong Ma Tengfei Li CLL 30 0 0 25 May 2024
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning Xiaoyang Chen Jinjian Wu Wenjiao Lyu Yichen Zou Kim-Han Thung Siyuan Liu Ye Wu Sahar Ahmad P. Yap 26 4 0 03 Jan 2023
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection Qin Liu H. Deng C. Lian Xiaoyang Chen Deqiang Xiao ... Xu Chen Tianshu Kuang J. Gateno P. Yap J. Xia 10 24 0 07 Oct 2021