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医学图像诊断深度模型

目录

2016

1.《3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation》

2017

1.《H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes (IEEE Transactions on Medical Imaging)》

2018

1.《UNet++: A Nested U-Net Architecture for Medical Image Segmentation (MICCAI)》

2.《nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation》

3.《LADDERNET: Multi-Path Networks Based on U-Net for Medical Image Segmentation》

4.《A Probabilistic U-Net for Segmentation of Ambiguous Images (NIPS)》

5.《3D RoI-aware U-Net for Accurate and Efficient Colorectal Cancer Segmentation》

2019

1.《MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation》

2.《CE-Net: Context Encoder Network for 2D Medical Image Segmentation》

3.《A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation (MICCAI 2019)》

4.《3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation (MICCAI 2019)》

5.《3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI》

2020

2021

2022

数据集介绍

医学细胞分割数据集

-(详细内容请访问相关平台注册获取)

3D-医学细胞分割数据集

-(详细内容请访问相关平台注册获取)

3D-IRCADb (3D Image Reconstruction for Comparison of Algorithm Database)

这是一个包含多组匿名医疗影像以及临床专家进行的各种感兴趣结构手动分割的数据库

转载地址：http://gndtz.baihongyu.com/