In this paper, we propose a feature patch based attention model to improve the classification accuracy of dental caries in CBCT images. We extract overlapping patches from the 3D feature maps and assign every patch with a corresponding weight computed by adaptive learning to achieve automatic ...
Many image restoration algorithms in recent years are based on patch processing. The core idea is to decompose the target image into fully overlapping patches, restore each of them separately, and then merge the results by a plain averaging. This concept has been demonstrated to be highly effecti...
3). Intensity averaging for overlapping regions in adjacent patches was applied so that the predicted voxels in the middle of each patch carried larger weighting than those from the borders. First, the inference algorithm was performed on acquired contrast CT scans to generate synthetic non-contrast...
Attention heatmaps can be created via saving the attention scores from global attention pooling, applying cv2.COLORMAP_MAGMA in OpenCV (or your favorite colormap) to the attention scores to create a colored patch, then blending and overlaying the colored patch with the original H&E patch using...
Exploiting low-rank properties through intrinsic self-similarity and non-local operations of overlapping image patches has received increasing attention recently. Through local patches in the noisy image, local similar cube patches can be found in an appropriately sized search window, and then they are...
To process WSIs, first, the tissue regions in each biopsy slide are segmented using Otsu's Segmentation on a downsampled WSI using OpenSlide. The 256 x 256 patches without spatial overlapping are extracted from the segmented tissue regions at the desired magnification. Consequently, a pretrained tr...
We show that overlapping pixels can be minimized by setting pixel stride equal to the pixel width of the feature window. Figure 2. An illustration of different patch sizes. Given a remote sensing image, the BoW model is designed with different image patch sizes to incorporate spatial information...
For the overlapped image patch, the final probability maps will be the average probability map of overlapping patches that can be used to realize vertebra segmentation. Thus, the generalization and stability of the trained model can be guaranteed. Parameter Settings The parameters for the model are...
The bit-error rate (BER) is highly significant in this regard, because the reliability issue must be addressed with proper attention. In real-time remote monitoring of a patient's condition (e.g., the heart rate), the data transmission should be almost completely error-free. Currently, ...
FBG-based biosensors have recently attracted considerable attention since they combine the advantages of FBG technology such as small cross-sectional area (an optical fiber is not larger than a human hair), biocompatibility, electromagnetic interference immunity, and high sensitivity with the properties ...