Towards improved accuracy of UAV-based wheat ears counting: A transfer learning method of the ground-based fully convolutional network

2022 ◽  
Vol 191 ◽  
pp. 116226
Author(s):  
Juncheng Ma ◽  
Yunxia Li ◽  
Hongjie Liu ◽  
Yongfeng Wu ◽  
Lingxian Zhang
Keyword(s):  
Transfer Learning ◽  
Learning Method ◽  
Convolutional Network ◽  
Fully Convolutional Network ◽  
Improved Accuracy

scholarly journals Automatic Segmentation of Prostate Cancer using cascaded Fully Convolutional Network

2021 ◽  
Vol 309 ◽  
pp. 01068
Author(s):  
Padmavathi Kora ◽  
K Reddy Madhavi ◽  
J Avanija ◽  
Sunitha Gurram ◽  
K Meenakshi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Deep Neural Networks ◽  
Automatic Segmentation ◽  
Learning Method ◽  
Extraction Techniques ◽  
Convolutional Network ◽  
Fully Convolutional Network ◽  
Tumour Detection ◽  
Prostate Segmentation ◽  
Learning Techniques

In this paper we proposed a prostate segmentation and also tumour detection using deep neural networks. The cutting-edge deep learning techniques are useful compared to the challenges of machine learning based feature extraction techniques. Here we proposed a strategy that contains an FCN model that incorporates data from several MRI images, allowing for faster convergence and more accurate segmentation. T1 and DWI volumes may be used together to delineate the prostate boundary, according to this study. Second, we investigated whether this method might be utilized to provide voxel-level prostate tumor forecasts. The cascaded learning method and performed tests to demonstrate its effectiveness.

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