SFR-Net is designed for semantic segmentation of ultra-wide area (UWA) remote sensing images, where both the pixel count and geographical coverage are extremely large. It constructs aligned local, ...

The healthcare AI models are intended and provided as-is for research and model development exploration. The healthcare AI models are not designed or intended to be deployed in clinical settings as-is ...

For preclinical studies, the standard practice for evaluating lung injury usually involves an assessment of pulmonary histopathology by a certified pathologist. This is typically accomplished by light ...

[Sep.28 2024] We released the testing codes and the pre-trained models of MarineInst. [Aug.12 2024] MarineInst was accepted by ECCV with Oral presentation. [July.1 2024] MarineInst was accepted by ...

Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed ...

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 ...

Fast and accurate segmentation of knee bone and cartilage on MRI images is becoming increasingly important in the orthopaedic area, as the segmentation is an essential prerequisite step to a ...

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 ...