Results 51 to 60 of about 488,489 (323)
MCMC algorithm based on Markov random field in image segmentation.
In the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
doaj +1 more source
Face Image Segmentation Using Boosted Grey Wolf Optimizer
Image segmentation methods have received widespread attention in face image recognition, which can divide each pixel in the image into different regions and effectively distinguish the face region from the background for further recognition.
Hongliang Zhang+7 more
doaj +1 more source
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model [PDF]
Segmentation quality assessment (SQA) plays a critical role in the deployment of a medical image based AI system. Users need to be informed/alerted whenever an AI system generates unreliable/incorrect predictions. With the introduction of the Segment Anything Model (SAM), a general foundation segmentation model, new research opportunities emerged in ...
arxiv
The semiotics of medical image Segmentation [PDF]
As the interaction between clinicians and computational processes increases in complexity, more nuanced mechanisms are required to describe how their communication is mediated. Medical image segmentation in particular affords a large number of distinct loci for interaction which can act on a deep, knowledge-driven level which complicates the naive ...
Terry M. Peters+5 more
openaire +6 more sources
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation [PDF]
Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise uncertainty maps of the segmentation and allows an implicit ensemble of segmentations to boost the segmentation performance.
arxiv
The glacier ice worm Mesenchytraeus solifugus survives year‐round at 0 °C. Its ATP6 subunit, which forms a regulatory component of the proton pore in mitochondrial ATP synthase, has a carboxy‐terminal extension not found in any other organism examined to date. Here, we show that fusion of this extension to the homologous AtpB protein in E. coli results
Truman Dunkley+2 more
wiley +1 more source
Applying morphology to improve Canny operator's image segmentation method
When a single image segmentation method is used for image segmentation of wind turbine blade images under a complex background, the results obtained are not accurate and complete.
Hongyun Xu, Xiaoli Xu, Yunbo Zuo
doaj +1 more source
Characteristics of the Kelch domain containing (KLHDC) subfamily and relationships with diseases
The Kelch protein superfamily includes 63 members, with the KLHDC subfamily having 10 proteins. While their functions are not fully understood, recent advances in KLHDC2's structure and role in protein degradation have highlighted its potential for drug development, especially in PROTAC therapies.
Courtney Pilcher+6 more
wiley +1 more source
LHCPs are transported to the thylakoid membrane via the (cp)SRP pathway. This process involves a transit complex of (cp)SRP43, (cp)SRP54 and LHCP, which interacts with (cp)FtsY and Alb3 at the membrane. GTP hydrolysis by (cp)SRP54 and (cp)FtsY triggers complex dissociation.
Victor Zegarra+7 more
wiley +1 more source