The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...
A new vision algorithm helps humanoid robots perceive depth more like humans, using two forward-facing eyes for better 3D ...
MRIs are among the most accurate imaging tests used to diagnose brain tumors, and MRI-based monitoring of tumors guides ...
Cell painting and other multiplexed assays require imaging across a range of fluorescent channels. The ImageXpress ® HCS.ai ...
ABSTRACT: Acute Lymphoblastic Leukemia (ALL), a highly aggressive subtype of blood cancer, demands early and accurate diagnosis to improve patient outcomes. Traditional diagnostic methods relying on ...
Abstract: Machine learning algorithm for multi-modal image segmentation is extensively employed in medical analysis and diagnosis. Clustering represents a mainstream approach for image segmentation, ...
Medical image segmentation is fundamental for disease diagnosis, particularly in the context of breast cancer, a prevalent malignancy affecting women. The accuracy of lesion localization and ...
Medical image segmentation task can provide the lesion object semantic information, but ignores edge texture details from the lesion region. Conversely, the medical image reconstruction task furnishes ...
Meshroom 2025.1 update introduces templates, photometric stereo and a new plugin system with Python Hub. Open source and ...
Following the 2024 U.S. presidential election, millions of aggravated X users flocked to Bluesky to avoid the partisan vitriol that had overtaken the older social media platform. Designed without an ...
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