Dilated Convolution and YOLOv8 Feature Extraction Network: An Improved Method for MRI-Based Brain Tumor Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3539924
Abstract: The extremely low tumor prevalence in the general population makes accurate image-based tumor identification and classification a significant obstacle for medical researchers. Timely therapies and better patient outcomes depend on the capacity to identify cancers… read more here.
Keywords: brain; feature extraction; extraction network; tumor ... See more keywords
Spatial and Spectral Extraction Network With Adaptive Feature Fusion for Pansharpening
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3187025
Abstract: Pansharpening methods based on deep neural networks (DNNs) have been attracting great attention due to their powerful representation capabilities. In this article, to combine the feature maps from different subnetworks efficiently, we propose a novel… read more here.
Keywords: spectral extraction; spatial spectral; fusion; feature ... See more keywords
Self-Supervised Deep Correlation Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3037518
Abstract: The training of a feature extraction network typically requires abundant manually annotated training samples, making this a time-consuming and costly process. Accordingly, we propose an effective self-supervised learning-based tracker in a deep correlation framework (named:… read more here.
Keywords: self supervised; feature extraction; extraction network; correlation ... See more keywords