Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging

Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging

Convolutional neural networks have been widely used to detect and classify various objects and structures in computer vision and medical imaging. Access to large sets of annotated data is commonly a prerequisite for achieving good performance. Before the deep learning era, systems based on handcraft...

Full description

Bibliographic Details
Main Authors: Panagiotis Gonidakis, Alexander Sonora-Mengana, Bart Jansen, Jef Vandemeulebroucke
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
3D CNN
convolutional neural networks
deep learning
data augmentation
false positive reduction
handcrafted features
Online Access:https://ieeexplore.ieee.org/document/10311563/

Internet

https://ieeexplore.ieee.org/document/10311563/

Similar Items