Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis.
Sign Up to like & getrecommendations! Published in 2023 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/acda78
Abstract: OBJECTIVE Multi-parametric MR image synthesis is an effective approach for several clinical applications where specific modalities may be unavailable to reach a diagnosis. While technical and practical conditions limit the acquisition of new modalities for… read more here.
Keywords: bidirectional feature; feature; synthesis; contrastive learning ... See more keywords
Scenario Context-Aware-Based Bidirectional Feature Pyramid Network for Remote Sensing Target Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3135935
Abstract: Compared with ordinary optical images, the situation of remote sensing images is much more complicated. The problems caused by the shooting angles over the Earth’s surface are: 1) some target categories with more complex shooting… read more here.
Keywords: network; remote sensing; bidirectional feature; feature pyramid ... See more keywords
Bidirectional Feature Aggregation and Adaptive Fusion Network for ALS Point Cloud Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3532795
Abstract: Significant progress has been achieved using deep learning technology for the semantic segmentation of airborne laser scanning (ALS) point clouds. However, there are still challenges in effectively capturing contextual information and fusing network multilevel features… read more here.
Keywords: bidirectional feature; feature aggregation; segmentation; adaptive fusion ... See more keywords
Bidirectional Feature Pyramid Siamese Anomaly Detection Network With Cellular Anomaly Generation for Container Marking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3554326
Abstract: Container marking anomaly detection (CMAD) aims to identify markings that deviate from a standard reference image. Currently, the manual execution of CMAD is inefficient and susceptible to errors. Existing machine vision methods are limited to… read more here.
Keywords: feature pyramid; bidirectional feature; anomaly detection; anomaly ... See more keywords
Finger-Vein Recognition Using Bidirectional Feature Extraction and Transfer Learning
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6664809
Abstract: Accuracy and efficiency are essential topics in the current biometric feature recognition and security research. This paper proposes a deep neural network using bidirectional feature extraction and transfer learning to improve finger-vein recognition performance. Above… read more here.
Keywords: transfer learning; bidirectional feature; feature; recognition ... See more keywords
Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network
Sign Up to like & getrecommendations! Published in 2025 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2994
Abstract: Breast cancer is one of the leading causes of death among women worldwide. Early detection plays a crucial role in reducing mortality rates. While mammography is a widely used diagnostic tool, computed tomography (CT) scans… read more here.
Keywords: convolutional neural; breast cancer; bidirectional feature; breast ... See more keywords