IEEE

Cell Instance Segmentation: The Devil Is in the Boundaries

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...
Scientific Research Publishing

Liu, S., Qi, L., Qin, H., Shi, J. and Jia, J. (2018) Path Aggregation Network for Instance Segmentation. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.
GitHub

kmaxdeeplab_semantic tutorial made for instance segmentation?

I'm interested in using Coconut for semantic segmentation. I'm looking at the semantic segmentation tutorial. Is it normal that, in the configuration in the conf folder, only instance segmentation and ...
Frontiers

Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids

Uterine broad ligament fibroids present unique surgical challenges due to their proximity to vital pelvic structures. This study aimed to evaluate artificial intelligence (AI)-guided MRI instance ...
IEEE

Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images

Abstract: Instance segmentation of remote sensing images (RSIs) is an essential task for a wide range of applications such as land planning and intelligent transport. Instance segmentation of RSIs is ...
GitHub

2.5D U-Net for Vascular Segmentation (HiP-CT)

Codebase for supervised segmentation of vasculature in 3D HiP-CT volumes using a 2.5D U-Net (stacked slices as colour channels with 2D convolutions). This repository adapts and refactors the Team-1 ...