Top Papers: Medizinische Bildsegmentierung (2022)

Die 50 meistzitierten Arbeiten zu Medizinische Bildsegmentierung aus dem Jahr 2022 (von 3.790 insgesamt).

Die automatische Bildsegmentierung ist eine Schlüsseltechnologie für die KI-gestützte Medizin. Algorithmen erkennen und markieren gezielt Organe, Tumore oder Gewebeveränderungen in CT-, MRT- und Ultraschallbildern. Das beschleunigt klinische Workflows und verbessert die Reproduzierbarkeit von Diagnosen. Diese Seite sammelt die wichtigsten Arbeiten aus diesem spezialisierten Forschungsfeld.

2020 2021 2022 2023

#	Paper	Zitationen
1	Instant neural graphics primitives with a multiresolution hash encoding Thomas Müller, Alex Evans, Christoph Schied et al. ACM Transactions on Graphics	3.472
2	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang et al. Lecture notes in computer science	1.519
3	A Survey of Quantization Methods for Efficient Neural Network Inference Amir Gholami, Sehoon Kim, Zhen Dong et al. —	991
4	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer Haonan Wang, Peng Cao, Jiaqi Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence	974
5	DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation Ailiang Lin, Bingzhi Chen, Jiayu Xu et al. IEEE Transactions on Instrumentation and Measurement	814
6	UNeXt: MLP-Based Rapid Medical Image Segmentation Network Jeya Maria Jose Valanarasu, Vishal M. Patel Lecture notes in computer science	746
7	TransMorph: Transformer for unsupervised medical image registration Junyu Chen, Eric C. Frey, Yufan He et al. Medical Image Analysis	659
8	Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI Zhiqin Zhu, Xianyu He, Guanqiu Qi et al. Information Fusion	536
9	MISSFormer: An Effective Transformer for 2D Medical Image Segmentation Xiaohong Huang, Zhifang Deng, Dandan Li et al. IEEE Transactions on Medical Imaging	490
10	Deep learning based brain tumor segmentation: a survey Zhihua Liu, Lei Tong, Long Chen et al. Complex & Intelligent Systems	352
11	Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi et al. IEEE Reviews in Biomedical Engineering	326
12	RTMDet: An Empirical Study of Designing Real-Time Object Detectors Chengqi Lyu, Wenwei Zhang, Haian Huang et al. arXiv (Cornell University)	305
13	ConvUNeXt: An efficient convolution neural network for medical image segmentation Zhimeng Han, Muwei Jian, Gai‐Ge Wang Knowledge-Based Systems	304
14	SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation Chenyu You, Yuan Zhou, Ruihan Zhao et al. IEEE Transactions on Medical Imaging	303
15	Shape-Adaptive Selection and Measurement for Oriented Object Detection Liping Hou, Ke Lü, Jian Xue et al. Proceedings of the AAAI Conference on Artificial Intelligence	266
16	Recent advances on image edge detection: A comprehensive review Junfeng Jing, Shenjuan Liu, Gang Wang et al. Neurocomputing	256
17	Deep Neural Networks for Medical Image Segmentation Priyanka Malhotra, Sheifali Gupta, Deepika Koundal et al. Journal of Healthcare Engineering	249
18	SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer Yun Jiang, Yuan Zhang, Xin Lin et al. Brain Sciences	232
19	TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers Yikang Ding, Wentao Yuan, Qingtian Zhu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	230
20	A review on 2D instance segmentation based on deep neural networks Wenchao Gu, Shuang Bai, Lingxing Kong Image and Vision Computing	223
21	EDTER: Edge Detection with Transformer Mengyang Pu, Yaping Huang, Yuming Liu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	223
22	Transfer learning for medical images analyses: A survey Xiang Yu, Jian Wang, Qingqi Hong et al. Neurocomputing	218
23	Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan et al. Neural Computing and Applications	200
24	A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation Himashi Peiris, Munawar Hayat, Zhaolin Chen et al. Lecture notes in computer science	198
25	Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation Yicheng Wu, Zhonghua Wu, Qianyi Wu et al. Lecture notes in computer science	193
26	Swin transformer for fast MRI Jiahao Huang, Yingying Fang, Yinzhe Wu et al. Neurocomputing	193
27	Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy Expert Systems with Applications	180
28	Self-Supervised Learning for Few-Shot Medical Image Segmentation Cheng Ouyang, Carlo Biffi, Chen Chen et al. IEEE Transactions on Medical Imaging	178
29	R <scp>oot</scp> P <scp>ainter</scp> : deep learning segmentation of biological images with corrective annotation Abraham George Smith, Eusun Han, Jens Petersen et al. New Phytologist	178
30	Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake et al. Journal of Digital Imaging	177
31	Dense Convolutional Network and Its Application in Medical Image Analysis Tao Zhou, Xinyu Ye, Huiling Lu et al. BioMed Research International	177
32	Deep Learning for Instance Retrieval: A Survey Wei Chen, Yu Liu, Weiping Wang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence	167
33	AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation Xiangyi Yan, Hao Tang, Shanlin Sun et al. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	159
34	RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion Han Xu, Jiayi Ma, Jiteng Yuan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	159
35	Dual-stream pyramid registration network Miao Kang, Xiaojun Hu, Weilin Huang et al. Medical Image Analysis	158
36	TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation Reza Azad, Moein Heidari, Moein Shariatnia et al. Lecture notes in computer science	153
37	Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge Jun Ma, Yao Zhang, Song Gu et al. Medical Image Analysis	152
38	3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework Xi Guan, Guang Yang, Jianming Ye et al. BMC Medical Imaging	146
39	Using U-Net network for efficient brain tumor segmentation in MRI images Jason Walsh, Alice Othmani, Mayank Jain et al. Healthcare Analytics	144
40	Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques Muhammad Arif, F. Ajesh, Shermin Shamsudheen et al. Journal of Healthcare Engineering	143
41	AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion Peishu Wu, Zidong Wang, Baixun Zheng et al. Computers in Biology and Medicine	143
42	Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review Parvathy Jyothi, A. Robert Singh Artificial Intelligence Review	142
43	Survey of Image Edge Detection Rui Sun, Tao Lei, Qi Chen et al. Frontiers in Signal Processing	141
44	MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model Junde Wu, Fu, Rao, Huihui Fang et al. arXiv (Cornell University)	138
45	Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation Hengxin Liu, Guoqiang Huo, Qiang Li et al. Expert Systems with Applications	134
46	Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions Yichi Zhang, Qingcheng Liao, Le Ding et al. Computerized Medical Imaging and Graphics	131
47	Medical image segmentation with 3D convolutional neural networks: A survey S. Niyas, S. J. Pawan, M. Anand Kumar et al. Neurocomputing	130
48	Image Segmentation Techniques: Statistical, Comprehensive, Semi-Automated Analysis and an Application Perspective Analysis of Mathematical Expressions Sakshi Sakshi, Vinay Kukreja Archives of Computational Methods in Engineering	127
49	Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications Masami Goto, Osamu Abe, Akifumi Hagiwara et al. Magnetic Resonance in Medical Sciences	126
50	Otsu’s thresholding technique for MRI image brain tumor segmentation Myat Thet Nyo, Fateh Mebarek‐Oudina, Su Su Hlaing et al. Multimedia Tools and Applications	126

Top Papers: Medizinische Bildsegmentierung (2022)

Verwandte Seiten