Frontiers

Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification

Department of Biomedical Engineering and Health, KTH Royal Institute of Technology, Stockholm, Sweden Introduction: The classification of lesion types in Digital Breast Tomosynthesis (DBT) images is ...
IEEE

SDS-Net: Shallow–Deep Synergism-Detection Network for Infrared Small Target Detection

Abstract: Current convolutional neural network (CNN)-based infrared small target detection (IRSTD) methods generally overlook the heterogeneity between shallow and deep features, leading to ...
IEEE

Edge-Guided Shallow and Contextual Deep Feature Learning via Bidirectional Attention for Salient Object Detection in Optical Remote Sensing Images

Abstract: Salient object detection from optical remote sensing images seeks to detect and segment out objects that stand out visually by mimicking human interpretation. Accurately detecting salient ...