Abstract: Medical image segmentation is a critical yet challenging task due to the intricate anatomical structures, low contrast, and high noise levels inherent in medical images. Leveraging the ...
Abstract: Shear Flow Deformability Cytometry (SDC), a subset of microfluidics-based deformability cytometry methods, has been widely applied for assessing cellular mechanical properties due to its ...
5don MSN
AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
1don MSN
Label-free optical imaging enables automated measurement of human white matter microstructure
White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
The DIRHAM framework redefines distribution strategy, showing how paid signals, influencers, and AI visibility work together ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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