Abstract: Accurate mapping of oil palm plantations is crucial for sustainable management. Deep learning-based semantic segmentation technology, such as UNet and Deepl.ab, offers significant potential ...

This is an experimental project for Image-Segmentation of Ovarian-Tumor by using Tensorflow-Slightly-Flexible-UNet Model, which is a typical classic Tensorflow2 UNet implementation TensorflowUNet.py ...

This is an experimental project to detect Multiple-Myeloma from some pieces of tiled-images created from a large 4K image, by using our Tensorflow-Slightly-Flexible-UNet. Anubha Gupta, Ritu Gupta, ...

The accurate extraction of wheat lodging areas can provide important technical support for post-disaster yield loss assessment and lodging-resistant wheat breeding. At present, wheat lodging ...

Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep ...

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...