Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning
Automatic and reliable segmentation of the pancreas is an important but difficult task for various clinical applications, such as pancreatic cancer radiotherapy and computer-aided diagnosis (CAD). The main challenges for accurate CT pancreas segmentation lie in two aspects: (1) large shape variation...
Main Authors: | Shangqing Liu, Xinrui Yuan, Runyue Hu, Shujun Liang, Shaohua Feng, Yuhua Ai, Yu Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8937496/ |
Similar Items
-
Landfill Waste Segregation Using Transfer and Ensemble Machine Learning: A Convolutional Neural Network Approach
by: Angelika Sita Ouedraogo, et al.
Published: (2023-08-01) -
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
by: Syifa Auliyah Hasanah, et al.
Published: (2023-12-01) -
ResNet-LSTM for Real-Time PM<sub>2.5</sub> and PM₁₀ Estimation Using Sequential Smartphone Images
by: Shiguang Song, et al.
Published: (2020-01-01) -
CNN-Based Acoustic Scene Classification System
by: Yerin Lee, et al.
Published: (2021-02-01) -
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
by: Arun Kumar Dubey, et al.
Published: (2023-06-01)