Blood Vessels Segmentation of Hatching Eggs Based on Fully Convolutional Networks

机译：基于完全卷积网络的孵化卵的血管分割

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FCN, trained end-to-end, pixels-to-pixels, predict result of each pixel. It has been widely used for semantic segmentation. In order to realize the blood vessels segmentation of hatching eggs, a method based on FCN is proposed in this paper. The training datasets are composed of patches extracted from very few images to augment data. The network combines with lower layer and deconvolution to enables precise segmentation. The proposed method frees from the problem that training deep networks need large scale samples. Experimental results on hatching eggs demonstrate that this method can yield more accurate segmentation outputs than previous researches. It provides a convenient reference for fertility detection subsequently.

机译：FCN，训练有素的端到端，像素到像素，可以预测每个像素的结果。它已被广泛用于语义分割。为了实现孵化卵的血管分割，提出了一种基于FCN的方法。训练数据集由从很少的图像中提取的补丁组成，以增强数据。该网络结合了较低层和反卷积功能，可以实现精确的分段。所提出的方法摆脱了训练深度网络需要大规模样本的问题。在孵化卵上的实验结果表明，与以前的研究相比，该方法可以产生更准确的分割结果。它为随后的生育率检测提供了方便的参考。

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《International conference on graphic and image processing》|2017年|106152C.1-106152C.7|共7页
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作者
Lei Geng; Ling Qiu; Jun Wu; Zhitao Xiao;
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FCN; Data augmentation; Hatching eggs; Blood vessels; Segmentation;

机译：FCN;数据扩充;孵化蛋;血管;分割;

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专利

1. Retinal Blood Vessel Segmentation with Improved Convolutional Neural Networks [J] . Yang Dan, Ren Mengcheng, Xu Bin Journal of Medical Imaging and Health Informatics . 2019,第6期

机译：具有改进的卷积神经网络的视网膜血管分割
2. Robust retinal blood vessel segmentation using convolutional neural network and support vector machine [J] . Balasubramanian Kishore, Ananthamoorthy N. P. Journal of ambient intelligence and humanized computing . 2021,第3期

机译：使用卷积神经网络和支持向量机的强大视网膜血管分割
3. A New Deeply Convolutional Neural Network Architecture for Retinal Blood Vessel Segmentation [J] . Mohammedhasan Mali, Uguz Harun International Journal of Pattern Recognition and Artificial Intelligence . 2021,第1期

机译：视网膜血管分割的新深度卷积神经网络架构
4. Blood Vessels Segmentation of Hatching Eggs Based on Fully Convolutional Networks [C] . Lei Geng, Ling Qiu, Jun Wu, International Conference on Graphic and Image Processing . 2017

机译：基于完全卷积网络的孵化蛋血管分割
5. Automated Segmentation and Uncertainty Quantification for Image-Based Cardiovascular Modeling with Convolutional Neural Networks [D] . Maher, Gabriel. 2020

机译：卷积神经网络的图像基础心血管建模的自动分割和不确定量化
6. SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation [O] . Tiejun Yang, Tingting Wu, Lei Li, 2020

机译：SUD-GAN：深卷积生成对抗网络结合短连接和致密块用于视网膜血管分割
7. M-GAN: Retinal Blood Vessel Segmentation by Balancing Losses Through Stacked Deep Fully Convolutional Networks [O] . Kyeong-Beom Park, Sung Ho Choi, Jae Yeol Lee 2020

机译：M-GaN：通过堆叠深度全卷积网络平衡损耗的视网膜血管分割

Blood Vessels Segmentation of Hatching Eggs Based on Fully Convolutional Networks

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