研究论文开放获取
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl, Jens Petersen, Klaus H. Maier-Hein
German Cancer Research Center Heidelberg University Google DeepMind (United Kingdom) University Hospital Heidelberg
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。
逐年被引趋势
2,8971,4490
12
19
20
21
22
23
24
2,89725
26
关键指标
9,005
被引次数 · OpenAlex
218.04
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
50
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
AI 辅助阅读
依据：文献信息
论文问答
当前基于文献信息回答
可就本文提问；依据不足时会说明。
学术脉络
学科主题
计算机 / AIAdvanced Neural Network Applications
Cell Image Analysis Techniques · Medical Imaging and Analysis
参考文献 50
The Medical Imaging Interaction Toolkit: challenges and advances
被引 415Marco Nolden, Sascha Zelzer, Alexander Seitel · International Journal of Computer Assisted Radiology and Surgery · 2013
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
被引 6,665Bjoern Menze, András Jakab, Stefan Bauer · IEEE Transactions on Medical Imaging · 2014
U-Net: Convolutional Networks for Biomedical Image Segmentation
被引 90,362Olaf Ronneberger, Philipp Fischer, Thomas Brox · Lecture notes in computer science · 2015
此处列出前 3 条
引用本文 9,005
Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation
被引 3,742Hu Cao, Yueyue Wang, Joy Chen · Lecture notes in computer science · 2023
UNETR: Transformers for 3D Medical Image Segmentation
被引 2,981Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022
Segment anything in medical images
被引 2,553Jun Ma, Yuting He, Feifei Li · Nature Communications · 2024
按被引量排序，此处列出前 3 条