Results 21 to 30 of about 9,139 (221)
, 2021 In the present era, human brain tumor is the extremist dangerous and devil to the human being that leads to certain death. Furthermore, the brain tumor arises more complexity of patients life with time.
K. Islam +5 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Each of the three satellites constituting the RADARSAT Constellation Mission (RCM) provides compact polarimetric synthetic aperture radar (CP SAR) data.
Mohsen Ghanbari +2 more
doaj +1 more source
Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments. [PDF]
SmallThis study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Ogundokun RO +4 more
europepmc +2 more sources
Semantic-Aware Region Loss for Land-Cover Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Integrating superpixel segmentation into convolutional neural networks is known to be effective in enhancing the accuracy of land-cover classification.
Xianwei Zheng +5 more
doaj +1 more source
Robust Superpixel Tracking [PDF]
IEEE Transactions on Image Processing, 2014 While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large appearance change due to factors such as scale, motion, shape deformation, and occlusion. One of the main reasons is the lack of effective image representation schemes to account for appearance ...
Fan Yang 0016 +2 more
openaire +2 more sources
A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Remote Sensing, 2022 Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially stretched by strong changes so that subtle changes are ignored.
Qiuxia Li +12 more
openaire +2 more sources
A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function
IEEE Access, 2020 Superpixel is an essential tool for computer vision. In practice, classic superpixel algorithms do not exhibit good boundary adherence with fewer superpixels, which will greatly hamper further analysis.
Guoqi Liu +3 more
doaj +1 more source
Superpixel segmentation based on image density
Systems Science & Control Engineering, 2023 Superpixel segmentation can get the middle features in image processing, effectively reduce the dimensionality of the image, and is widely used in image processing fields. To get the regular and compact superpixels in real-time, a superpixel segmentation
Dong-Fang Qiu +3 more
doaj +1 more source
PDC: Piecewise Depth Completion utilizing Superpixels [PDF]
International Conference on Intelligent Transportation Systems, 2021 Depth completion from sparse LiDAR and high-resolution RGB data is one of the foundations for autonomous driving techniques. Current approaches often rely on CNN-based methods with several known drawbacks: flying pixel at depth discontinuities ...
Dennis Teutscher +2 more
semanticscholar +1 more source
Extended set of superpixel features
Компьютерная оптика, 2021 Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape,
A.A. Egorova, V.V. Sergeyev
doaj +1 more source