Opinions expressed by Entrepreneur contributors are their own. Different audiences have distinct needs. Running seven ...
ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
Hello, I am currently working on a thorough benchmark for Rust FM-Indices. I am including the library AWRY, which uses sufr to construct the suffix array. I got a segmentation fault when running the ...
Abstract: We address the problem of agricultural image segmentation by introducing a novel loss formulation called Adaptive Select Loss (ASL), inspired by the Top-k loss strategy. While Top-k loss was ...
Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...
The manuscript now compares the WNet3D quantitatively against other methods on all four datasets: Figure 1b shows results on the mouse cortex dataset, comparing StarDist, CellPose, SegResNet, ...
U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...
Lauren is an entertainment journalist and screenwriter. Her unhealthy pop culture obsession has led to bylines at Letterboxd, The Direct, Kotaku, Gizmodo and Lifehacker Australia. On the side, Lauren ...
Abstract: In this article, we introduce a new variational model for addressing the image segmentation problem of minimal user interaction. The proposed variational segmentation model, regarded as a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results