A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
ECFFNet: Effective and consistent feature fusion network for RGB-T salient object detection
Under ideal environmental conditions, RGB-based deep convolutional neural networks can
achieve high performance for salient object detection (SOD). In scenes with cluttered …
achieve high performance for salient object detection (SOD). In scenes with cluttered …
mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions
V Chalavadi, P Jeripothula, R Datla, SB Ch - Pattern Recognition, 2022 - Elsevier
The object detection in aerial images is one of the most commonly used tasks in the wide-
range of computer vision applications. However, the object detection is more challenging …
range of computer vision applications. However, the object detection is more challenging …
Auto-msfnet: Search multi-scale fusion network for salient object detection
Multi-scale features fusion plays a critical role in salient object detection. Most of existing
methods have achieved remarkable performance by exploiting various multi-scale features …
methods have achieved remarkable performance by exploiting various multi-scale features …
A state-of-the-art survey of artificial neural networks for whole-slide image analysis: from popular convolutional neural networks to potential visual transformers
In recent years, with the advancement of computer-aided diagnosis (CAD) technology and
whole slide image (WSI), histopathological WSI has gradually played a crucial aspect in the …
whole slide image (WSI), histopathological WSI has gradually played a crucial aspect in the …
Boosting broader receptive fields for salient object detection
Salient Object Detection has boomed in recent years and achieved impressive performance
on regular-scale targets. However, existing methods encounter performance bottlenecks in …
on regular-scale targets. However, existing methods encounter performance bottlenecks in …
Recursive contour-saliency blending network for accurate salient object detection
YY Ke, T Tsubono - Proceedings of the IEEE/CVF winter …, 2022 - openaccess.thecvf.com
Contour information plays a vital role in salient object detection. However, excessive false
positives remain in predictions from existing contour-based models due to insufficient …
positives remain in predictions from existing contour-based models due to insufficient …
Real-time one-stream semantic-guided refinement network for RGB-thermal salient object detection
Salient object detection (SOD) has been widely used in practical applications, such as
multisensor image fusion, remote sensing, and defect detection. Recently, SOD from RGB …
multisensor image fusion, remote sensing, and defect detection. Recently, SOD from RGB …
TFGNet: Traffic salient object detection using a feature deep interaction and guidance fusion
N Jia, Y Sun, X Liu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Emergency prediction and driver attention prediction are fundamental tasks within the realm
of self-driving vehicles and assistant driving systems. The utilization of visual saliency …
of self-driving vehicles and assistant driving systems. The utilization of visual saliency …
Salient objects in clutter
In this paper, we identify and address a serious design bias of existing salient object
detection (SOD) datasets, which unrealistically assume that each image should contain at …
detection (SOD) datasets, which unrealistically assume that each image should contain at …