「CV」 医疗图像分析资源汇总

通用物体分割资源

1 综述

1. Medical Image Analysis using Convolutional Neural Networks: A Review
   2017-09-04 paper

2. Deep neural network models for computational histopathology: A survey
   2019-12-28 paper
   病理学——癌症图像分析；

2 理论

3 识别

3.1 面瘫

1. Toward an Automatic System for Computer-Aided Assessment in Facial Palsy
   2019-10-25 paper

3.2 心率

1. RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation
   2019-10-25 paper | project
   根据面部识别心率；

4 分割

4.1 肺结核

1. Dual-branch residual network for lung nodule segmentation
   2019-05-21 paper

2. Lung nodule segmentation via level set machine learning
   2019-10-08 paper
   基于 CT；

4.2 白细胞

1. A novel algorithm for segmentation of leukocytes in peripheral blood
   2019-05-21 paper

4.3 手术器械

1. RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
   2019-05-21 paper

2. Learning Where to Look While Tracking Instruments in Robot-assisted Surgery
   MICCAI 2019 2019-06-29 paper

4.4 头部 CT

1. Improved ICH classification using task-dependent learning
   2019-06-29 paper
   分割、分类双任务同时进行，最后的 loss 有借鉴意义；

4.5 骨骼

1. Permutohedral Attention Module for Efficient Non-Local Neural Networks
   MICCAI 2019 2019-07-01 paper
   椎骨分割，用了注意力；

4.6 皮肤

1. MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network
   2019-07-01 paper
   使用 GAN 进行分割；

4.7 肿瘤

1. An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
   2019-07-01 paper
   使用了对抗学习；

4.7 器官

1. End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
   2019-10-15 paper
   GAN 分割腹部器官——肝、胰和脾；

4.8 其他

1. Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
   2019-05-21 paper

2. Multi-scale guided attention for medical image segmentation
   2019-06-07 paper | pytorch-offical
   差不多的低层特征在多个尺度上重复提取，我们就设计了一个注意力，来重复利用这些特征；并在腹部磁共振成像（MRI）上进行了实验；

5 关键点

人体关键点检测

5.1 老年痴呆

1. Limitations and Biases in Facial Landmark Detection – An Empirical Study on Older Adults with Dementia
   CVPR 2019 (FGAHI) Workshop 2019-05-17 paper

6 MRI

1. Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
   CVPR 2019 2019-02-08 facebook paper | keras

2. DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
   ICCV 2019 2019-08-21 paper
   用 MRI 合成 PET 图像；

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