当前位置:   article > 正文

医学图像分割、MRI、病变检测……“AI+医疗”近期有哪些值得读的顶会论文?...

如何找医学影像加ai方面的论文

我整理了近一年的114篇医疗论文,汇总如下,感兴趣的小伙伴,可添加我的微信领取。

扫码添加我的微信

0b95b2df66cc55cb04ef71af4cfb4796.png

回复“医疗”获取114篇论文

一、CVPR2022- 2023医学影像论文

1、CVPR 2023医学影像论文

[01]无标记肝肿瘤分割

[Title]Label-Free Liver Tumor Segmentation

[02]用于X射线图像中无监督异常检测的深层特征内漆

[Title]Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

[03]通过机械和循环一致性损失对活细胞进行无监督轮廓跟踪[Title]Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

[04]基于连贯概念的医学图像解释及其在皮肤病变诊断中的应用[Title]Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

扫码添加我的微信

b20699514d98a044ba4304b55250bf34.png

回复“医疗”获取114篇论文

27bca81bf043fd0c9b91f28f64ab9bb5.png

2、CVPR 2023医学影像论文

01 通过风格增强和双重归一化的可泛化跨模态医学图像分割

[Title]Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization

02 半监督医学图像分类的反课程伪标签

[Title]ACPL Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

03 用于组织病理学全幻灯片图像分类的双层特征蒸馏多实例学习

[Title]DTFD-MIL Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

04 鲁棒等变成像:一个学习从噪声和部分测量中成像的完全无监督框架

[Title]Robust Equivariant Imaging a fully unsupervised framework for learning to image from noisy and partial measurements Transformer

扫码添加我的微信

b3c2048e51dcb0f28988bf8bf7f93659.png

回复“医疗”获取114篇论文

dc3343ed31311abf95c8f51364c7e7cc.png

二、医疗影像综述 

[1]计算细胞学中的深度学习方法调查

[Title]Deep Learning for Computational Cytology: A Survey [Cite]Medical Image Analysis (2022)

[2]Transformer 应用于医学影像的关键属性、当前进展和未来前景的比较回顾

[Title]A comparative review of key properties, current progresses, and future perspectives 

[Cite]Medical Image Analysis (2023)

扫码添加我的微信

cc7072200a17ba40df458df2ffc27c5d.png

回复“医疗”获取114篇论文

22525bbbd47d415237797704bb203aba.png

2、医学图像分割

[1]通过局部校准个性化联合医学图像分割

[Title]Personalizing Federated Medical Image Segmentation via Local Calibration

[Cite]ECCV 2022

 [2]学习多类医学图像分割的拓扑交互

[Title]Learning Topological Interactions for Multi-Class Medical Image Segmentation

[Cite]ECCV 2022 

 [3]通过随机幅度混合和特定领域图像恢复进行通用医学图像分割 [Title]Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration 

[Cite]ECCV 2022 

3、放射科报告生成 

[01]用于放射学报告生成的跨模态原型驱动网络 

[Title]Cross-modal Prototype Driven Network for Radiology Report Generation

[Cite]ECCV 2022

4、密集预测

[01]ConCL:病理图像密集预测预训练的概念对比学习

[Title]ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

[Cite]ECCV 2022 

 5、视网膜图像匹配 [01]用于视网膜图像匹配的半监督关键点检测器和描述符

[Title]Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

[Cite]ECCV 2022

扫码添加我的微信

8e66391910301970926e0158e93f6bb4.png

回复“医疗”获取114篇论文

e69222b4234c9c1f71d02520df0ecada.png

6、支架追踪 [01]X 射线透视中稳健的基于地标的支架跟踪

[Title]Robust Landmark-based Stent Tracking in X-ray Fluoroscopy 

[Cite]ECCV 2022 

7、病变检测 [01]检查和链接:成对病变对应指导乳房 X 线照片质量检测 [Title]Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection 

[Cite]ECCV 2022 

8、医学图像分析

[01]UniMiSS:通过打破维度壁垒实现通用医学自监督学习

[Title]UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier

[Cite]ECCV 2022

[02]K-SALSA:通过局部风格对齐对视网膜图像进行 K-匿名合成平均 [Title]K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment [Cite]ECCV 2022 

9、医学图像分类

[01]整张幻灯片图像多实例学习的微分缩放 

[Title]Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

[Cite]ECCV 2022 

[02]RadioTransformer:用于视觉注意引导疾病分类的级联全局焦点转换器 

[Title]RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification 

[Cite]ECCV 2022

10、医学关键点定位

[01]通过边缘引导变换和噪声地标细化的一次性医学地标定位

[Title]One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement 

[Cite]ECCV 2022 

扫码添加我的微信

c308ac9d23892bf68cd1404d79b4983c.png

回复“医疗”获取114篇论文

e4d39c3e89d5e3e86bfde2ecaa5c2729.png

11、医学图像配准

[01]使用从粗到精的视觉 transformer 进行仿射医学图像配准 

[Title]Affine Medical Image Registration with Coarse-to-Fine Vision Transformer 

[Cite]CVPR 2022

 12、医学图像处理 

[01]BoostMIS:通过自适应伪标记和信息主动注释促进医学图像半监督学习

[Title]BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation [Cite]CVPR 2022 

[02]鲁棒等变成像:一个完全无监督的框架,用于从噪声和部分测量中学习成像

[Title]Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements [Cite]CVPR 2022

13、MRI 

[01]用于多对比度 MRI 超分辨率的 Transformer 赋能的多尺度上下文匹配和聚合

[Title]Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

[Cite]CVPR 2022

[02]Vox2Cortex:使用几何深度神经网络从 3D MRI 扫描中快速显式重建皮质表面 

[Title]Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks

[Cite]CVPR 2022 

14、组织病理学

[01]组织病理学图像中细胞核半监督分割的跨补丁密集对比学习 [Title]Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images [Cite]CVPR 2022 

15、牙齿

[01]通过深度标签传播改善下牙槽神经的分割

[Title]Improving Segmentation of the Inferior Alveolar Nerve Through Deep Label Propagation 

[Cite]CVPR 2022

 [02]DArch:具有弱注释的牙弓先验辅助 3D 牙齿实例分割

[Title]DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations 

[Cite]CVPR 2022

扫码添加我的微信

db1500c464b50f0653412498145d3db1.png

回复“医疗”获取114篇论文

fd790fe9515dce77d8a025b28f386e1e.png

声明:本文内容由网友自发贡献,不代表【wpsshop博客】立场,版权归原作者所有,本站不承担相应法律责任。如您发现有侵权的内容,请联系我们。转载请注明出处:https://www.wpsshop.cn/w/知新_RL/article/detail/373824
推荐阅读
相关标签
  

闽ICP备14008679号