This week's stories show how fast attackers change their tricks, how small mistakes turn into big risks, and how the same old ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Trump reaction to watching video of ICE ...

Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, the absence ...

Abstract: Accurate porosity evaluation of wound dressings is essential for assessing their effectiveness in fluid absorption and tissue healing. This study presents a comparative analysis between ...

Cut and Learn for Unsupervised Object Detection and Instance Segmentation Cut -and- LE a R n (CutLER) is a simple approach for training object detection and instance segmentation models without human ...

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

Abstract: Interactive segmentation offers greater clinical potential in computational pathology compared to traditional automatic segmentation. By incorporating interactive input, it addresses the ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...