Tag: semantic segmentation

An in-house deep learning model detected all bladder cancer lymph node metastases on digitized slides while more than halving pathologist ...

Researchers integrated a clustering-guided block into convolutional neural networks, reducing concrete crack edge localization error to 2.31 pixels.

Researchers have developed MSBA-SAM, an adapted deep learning framework that automates aerial power grid segmentation by combining dual-branch image encoding ...

Researchers in Taiwan developed a geology-oriented U-Net semantic segmentation framework to automatically identify natural open fractures and fault gouge in ...

A modified high-resolution network incorporating residual global context attention and mixed dilated convolution improves the accuracy of automated Mini-LED backlight ...

Researchers have introduced LCS-Net, a lightweight collaborative neural network that executes simultaneous real-time object detection and semantic segmentation for autonomous ...

Researchers have developed CTWSeg, a weakly supervised framework that accurately segments Ming city wall components using only 0.1 percent labeled ...

A Chinese research team built a soil-sensing robot that scans the ground, scores candidate insertion points and matched expert judgment ...

A new deep learning model called HyEff-UNet segments oil spills in drone-captured port images pixel by pixel, achieving a macro ...

A new UAV-based framework detects semantic changes in rice fields, distinguishing disease and lodging transitions from paired drone images using ...