DB-SAM: Delving into High Quality Universal Medical Image Segmentation

DB-SAM: Delving into High Quality Universal Medical Image Segmentation

5 October 2024

Jiale Cao

Fahad Shahbaz Khan

Rao Muhammad Anwer

ArXiv (abs)PDF HTML Github (18★)

Papers citing "DB-SAM: Delving into High Quality Universal Medical Image Segmentation"

17 / 17 papers shown

Title
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation Chenfei Liao Xu Zheng Yuanhuiyi Lyu Haiwei Xue Yihong Cao Jiawen Wang Kailun Yang Xuming Hu VLM 124 9 0 09 Mar 2025
Vision Transformer Adapter for Dense Predictions Zhe Chen Yuchen Duan Wenhai Wang Junjun He Tong Lu Jifeng Dai Yu Qiao 138 567 0 17 May 2022
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 141 2,931 0 12 May 2021
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 130 2,730 0 01 Apr 2021
Image Compositing for Segmentation of Surgical Tools without Manual Annotations Luis C. Garcia-Peraza-Herrera Lucas Fidon Claudia DrEttorre Danail Stoyanov Tom Vercauteren Sebastien Ourselin 40 40 0 18 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 100 3,506 0 08 Feb 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task Haozhe Jia Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 77 48 0 30 Dec 2020
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI Peter M. Full Fabian Isensee Paul F. Jäger Klaus Maier-Hein OOD 68 45 0 15 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 114 346 0 28 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 260 5,107 0 08 Oct 2020
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu ... Jian He Zhiqiang He Yuntao Zhu Ziwei Nie Xiaoping Yang 81 212 0 27 Apr 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge N. Heller Fabian Isensee Klaus H. Maier-Hein X. Hou Chunmei Xie ... S. Peterson A. Kalapara N. Sathianathen Nikolaos Papanikolopoulos C. Weight 61 490 0 02 Dec 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 120 862 0 25 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 131 1,028 0 13 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 141 1,639 0 05 Nov 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 105 6,185 0 18 Jul 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,605 0 05 Sep 2017