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Abdominal Multi-Organ Auto-Segmentation with 3D-Patch Based Deep Convolutional Neural Network

机译：基于3D贴片的深卷积神经网络的腹部多器官自动分割

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H. Kim; J. Jung; J. Kim; B. Cho; J. Kwak; J.Y. Jang; S.W. Lee; J.G. Lee; S.M. Yoon;
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年度 2019
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1. Abdominal Multi-Organ Auto-Segmentation with 3D-Patch Based Deep Convolutional Neural Network [J] . Kim H., Jung J., Kim J., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：基于3D贴片的深卷积神经网络的腹部多器官自动分割
2. Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks [J] . Conze Pierre-Henri, Kavur Ali Emre, Gall Emilie Cornec-Le, Artificial intelligence in medicine . 2021,第Jula期

机译：腹部多器官分割与级联卷积和对抗深网络
3. Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system [J] . Liu Tao, Abd-Elrahman Amr, Morton Jon, GIScience & remote sensing . 2018,第2期

机译：比较全卷积网络，随机森林，支持向量机和基于补丁的深度卷积神经网络，使用来自小型无人机系统的图像进行基于对象的湿地映射
4. Multi-organ plant identification with multi-column deep convolutional neural networks [C] . Anfeng He, Xinmei Tian IEEE International Conference on Systems, Man, and Cybernetics . 2016

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5. Deep Neural Language Model for Text Classification Based on Convolutional and Recurrent Neural Networks [D] . Hassan, Abdalraouf. 2018

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6. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network [O] . Seung Seog Han, Gyeong Hun Park, Woohyung Lim, -1

机译：深度神经网络在灰指甲诊断中显示出与皮肤科医生相当且通常优于皮肤病的性能：通过基于区域的卷积深度神经网络自动构建灰指甲数据集
7. Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks [O] . Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, 2021

机译：腹部多器官分割与级联卷积和对抗深网络

Abdominal Multi-Organ Auto-Segmentation with 3D-Patch Based Deep Convolutional Neural Network

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