Segmentation coverage.

Automating Microsegmentation Policies with CI/CD

If you are still managing microsegmentation policies through a firewall ticket queue, you are doing...…

Awareness with Gen Z is Target KPI, is it OK to have no segmentation?

Audience Builder vs Data Filter: Which Segmentation Tool When?

Client needs a segment of subscribers within 5km of the Hanoi store. Data Filter can't do it. Before reaching for SQL, know what each SFMC segmentation tool can and can't do.…

Using Shopify customer tags for pet segmentation feels fundamentally broken. Am I overthinking this?

Why is VLAN Segmentation Overhyped in Small Networks?

Every new system or network engineer in the industry often starts by segmenting the existing network...…

Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities

Multimodal semantic segmentation benefits remote sensing analysis by combining complementary information from different sensor modalities. In real-world remote sensing applications…

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

Class imbalance is a fundamental challenge in medical image segmentation, where frequent classes typically dominate training at the expense of rare classes. Loss-based approaches m…

Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures

In recent years, there has been a notable increase in the level of attention that is given to algorithms based on deep learning in the context of medical image segmentation. Nevert…

7 ways to supercharge your email marketing campaign

Proven ways to drive better email results…

Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities

Multimodal magnetic resonance imaging (MRI) is crucial for brain tumor segmentation, with many methods leveraging its four key modalities to capture complementary information for e…

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation

Accurate delineation of electrocardiogram (ECG), the segmentation of meaningful waveform features, is crucial for cardiovascular diagnostics. However, the scarcity of annotated dat…

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation

Block attention, which processes the input as separate blocks that cannot attend to one another, offers significant potential to improve KV cache reuse in long-context scenarios su…