Results 241 to 250 of about 83,564 (303)

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Stage-Aware Swin-Enhanced nnU-Net v2 for Robust Polyp Segmentation in Collaborative Endoscopic Visual Sensing. [PDF]

Sensors (Basel)
Bai Y, Liu H.
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Automated CT Pulmonary Angiography-Derived Periclot Radiomics for CTEPH Detection. [PDF]

Pulm Circ
Nardelli P, Estépar RSJ, Cuttica M, Mylvaganam R, Rahaghi FN, Estépar RSJ.   +5 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

A Novel Method for Motion Blur Detection and Quantification Using Signal Analysis on a Controlled Empirical Image Dataset. [PDF]

Sensors (Basel)
Nonsakhoo W, Saiyod S.
europepmc   +1 more source

An offline deep learning model for bovine muzzle identification using the variance of the laplacian, YOLOv8, EfficientNetV2-S, and ArcFace. [PDF]

BMC Vet Res
Khalifa AG, Abdultawab AS.
europepmc   +1 more source

Quantification of edge-enhancing effects using accelerated deep learning reconstructed orbital MRI sequences. [PDF]

Eur J Radiol Open
Ruff C, Staber D, Gohla G, Kelbsch C, Paulsen F, Vogl D, Roder C, Ernemann U, Hauser TK.   +8 more
europepmc   +1 more source

Impact of Simulated Artifacts on the Classification Performance of Apical Views in Transthoracic Echocardiography Using Convolutional Neural Networks. [PDF]

Bioengineering (Basel)
Orzeł-Łomozik GB, Łomozik Ł, Podolski M, Rożek M, Światlak K, Radwan W, Przybylska Z, Michalska P, Pruski M, Mizia-Stec K.   +9 more
europepmc   +1 more source

Spectral-DETR: Learnable Frequency Decomposition with Adaptive Contrastive Regularization for Robust Underground Mine Detection. [PDF]

J Imaging
Song Y, Dai L, Xu X, Yang J.
europepmc   +1 more source