Results 61 to 70 of about 931,369 (334)
A Survey on Medical Image Segmentation Based on Deep Learning Techniques
Big Data and Cognitive Computing, 2022 Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep learning medical field, including the major common issues published in recent
Jayashree Moorthy, Usha Devi Gandhi
doaj +1 more source
Global Variational Method for Fingerprint Segmentation by Three-part Decomposition
, 2015 Verifying an identity claim by fingerprint recognition is a commonplace experience for millions of people in their daily life, e.g. for unlocking a tablet computer or smartphone.
Gottschlich, Carsten, Thai, Duy Hoang
core +1 more source
Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis
FEBS Letters, EarlyView.Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner +7 more
wiley +1 more source
A One Stop 3D Target Reconstruction and multilevel Segmentation Method [PDF]
arXiv, 2023 3D object reconstruction and multilevel segmentation are fundamental to computer vision research. Existing algorithms usually perform 3D scene reconstruction and target objects segmentation independently, and the performance is not fully guaranteed due to the challenge of the 3D segmentation.
arxiv
Unsupervised Image Segmentation using the Deffuant-Weisbuch Model from Social Dynamics
, 2016 Unsupervised image segmentation algorithms aim at identifying disjoint homogeneous regions in an image, and have been subject to considerable attention in the machine vision community.
Kayal, Subhradeep
core +1 more source
Brucella NyxA and NyxB dimerization enhances effector function during infection
FEBS Letters, EarlyView.Brucella abortus thrives inside cells thanks to the translocation of effector proteins that fine‐tune cellular functions. NyxA and NyxB are two effectors that destabilize the nucleolar localization of their host target, SENP3. We show that the Nyx proteins directly interact with each other and that their dimerization is essential for their function ...
Lison Cancade‐Veyre +4 more
wiley +1 more source
Recurrent Segmentation for Variable Computational Budgets
, 2018 State-of-the-art systems for semantic image segmentation use feed-forward pipelines with fixed computational costs. Building an image segmentation system that works across a range of computational budgets is challenging and time-intensive as new ...
Maheswaranathan, Niru +3 more
core +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
FEBS Letters, EarlyView.To explore the impact of the overexpression of the multidrug‐transporter P‐glycoprotein (ABCB1) on membrane fluidity, we compared the transversal gradient of mobility and microviscosity in plasma membranes of drug‐sensitive Chinese hamster ovary cells (AuxB1) and their multidrug‐resistant derivatives (B30) using the fluorescent n‐(9‐anthroyloxy) fatty ...
Roger Busche +2 more
wiley +1 more source
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth [PDF]
arXiv, 2021 A large amount of manual segmentation is typically required to train a robust segmentation network so that it can segment objects of interest in a new imaging modality. The manual efforts can be alleviated if the manual segmentation in one imaging modality (e.g., CT) can be utilized to train a segmentation network in another imaging modality (e.g ...
arxiv