Transfer Learning from Synthetic Data Applied to Soil–Root Segmentation in X-Ray Tomography Images-Reference-Cited by-同舟云学术

Transfer Learning from Synthetic Data Applied to Soil–Root Segmentation in X-Ray Tomography Images

Published:2018-05-06 Issue:5 Volume:4 Page:65
ISSN:2313-433X
Container-title:Journal of Imaging
language:en
Short-container-title:J. Imaging

Author:

Douarre Clément,Schielein Richard,Frindel Carole,Gerth Stefan,Rousseau David

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging

Link

http://www.mdpi.com/2313-433X/4/5/65/pdf

Reference34 articles.

1. Deep Learning;Goodfellow,2016

2. Machine learning for Big Data analytics in plants

3. Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

4. Deep learning in agriculture: A survey

5. Using Deep Learning for Image-Based Plant Disease Detection

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Pneumonia via a Hybrid ZFNet-Quantum Neural Network Using a Chest X-ray Dataset;Current Medical Imaging Formerly Current Medical Imaging Reviews;2024-08-22

2. Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels;Plant Methods;2024-05-21

3. DLSIA: Deep Learning for Scientific Image Analysis;Journal of Applied Crystallography;2024-03-21

4. Automatic Root Length Estimation from Images Acquired In Situ without Segmentation;Plant Phenomics;2024-01

5. Application of X-ray computed tomography in soil and plant -a review;Frontiers in Environmental Science;2023-10-17