Results 121 to 130 of about 32,830 (265)

Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. [PDF]

Med Image Anal, 2023
Bhattarai B, Subedi R, Gaire RR, Vazquez E, Stoyanov D.   +4 more
europepmc   +1 more source

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

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image. [PDF]

PLoS One, 2022
Nwosu L, Li X, Qian L, Kim S, Dong X.
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

A Novel Upsampling and Context Convolution for Image Semantic Segmentation. [PDF]

Sensors (Basel), 2021
Sediqi KM, Lee HJ.
europepmc   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection. [PDF]

Comput Intell Neurosci, 2021
Valizadeh A, Shariatee M.
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning

Sensors
Image semantics, by revealing rich structural information, provides crucial guidance for image inpainting. However, current semantic-guided inpainting frameworks generally operate unidirectionally, relying on pre-trained segmentation networks without a ...
Xueyi Ye, Ruijie Tan, Mingcong Sui, Huahua Chen, Na Ying   +4 more
doaj   +1 more source

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation. [PDF]

Sensors (Basel), 2021
Wang W, Li Q, Xiao C, Zhang D, Miao L, Wang L.   +5 more
europepmc   +1 more source