Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...

In the AI field, new models are being constantly released and every other week, a new AI image model comes out on top. So in this article, we have compiled a list of the best AI image generators which ...

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...

This project demonstrates how to perform image segmentation using pre-trained DeepLabV3 models with ResNet backbones. The script uses PyTorch and OpenCV for processing and visualizing images. The ...

Abstract: The primary objective of interactive medical image segmentation systems is to achieve more precise segmentation outcomes with reduced human intervention. This endeavor holds significant ...

1 Oceanography Department, Geoscience Institute of the Federal University of Bahia (UFBA), Salvador, Brazil. 2 Earth and Environmental Physics Department, Physics Institute of the Federal University ...