Results 221 to 230 of about 1,221,513 (328)

Fully Convolutional Networks for Semantic Segmentation

, 2016
Jonathan Long, Evan Shelhamer, Trevor Darrell   +2 more
openalex   +2 more sources

Key concepts, methods, findings, and questions about traumatic memories

Journal of Traumatic Stress, EarlyView.
Abstract This article is based on a Lifetime Achievement Award lecture delivered at the 40th Annual Meeting of the International Society for Traumatic Stress Studies in Boston (Massachusetts, United States) in September 2024. Understanding traumatic memory involves integrating clinical observations with a wide range of knowledge from philosophy ...
Chris R. Brewin
wiley   +1 more source

Construction of a multiscale feature fusion model for indoor scene recognition and semantic segmentation. [PDF]

Sci Rep
Li JW, Yan GW, Jiang JW, Cao Z, Zhang X, Song B.   +5 more
europepmc   +1 more source

Development of an Open‐Source Algorithm for Automated Segmentation in Clinician‐Led Paranasal Sinus Radiologic Research

The Laryngoscope, EarlyView.
The purpose of this study was to validate and provide an open‐source segmentation algorithm of paranasal sinus CT scans for the otolaryngology research community. This can be used for further AI‐based analysis and radiomic analysis in future research. ABSTRACT Objective Artificial Intelligence (AI) research needs to be clinician led; however, expertise
Rhea Darbari Kaul, Wenjin Zhong, Sidong Liu, Ghasem Azemi, Kate Liang, Emma Zou, Peta‐Lee Sacks, Cedric Thiel, Raewyn Gay Campbell, Larry Kalish, Raymond Sacks, Antonio Di Ieva, Richard John Harvey   +12 more
wiley   +1 more source

A semantic segmentation-based automatic pterygium assessment and grading system. [PDF]

Front Med (Lausanne)
Ji Q, Liu W, Ma Q, Qu L, Zhang L, He H.
europepmc   +1 more source

Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks

, 2016
Arsalan Mousavian, Hamed Pirsiavash, Jana Košecká   +2 more
openalex   +2 more sources

Natural Language Processing Algorithms to Improve Digital Marketing Data Quality and Its Ethical Implications

Psychology &Marketing, EarlyView.
ABSTRACT The ethical implications of personalization in digital marketing are significantly greater when companies adapt their marketing actions to individual consumer preferences. While this approach helps to reduce oversaturation and a sense of irrelevance among consumers, it also raises concerns about privacy and potential algorithmic bias. One form
Sergi Pons, Ruben Huertas‐Garcia, Jorge Lengler, Daniel Luiz de Mattos Nascimento   +3 more
wiley   +1 more source

UAV Imagery Real-Time Semantic Segmentation with Global-Local Information Attention. [PDF]

Sensors (Basel)
Zhang Z, Li G.
europepmc   +1 more source

Advancing Antecedents of Brand Personality: A Meta‐Analytical Review and Moderator Analysis

Psychology &Marketing, EarlyView.
ABSTRACT Product differentiation is essential to attract consumers. Besides functional brand characteristics, symbolic traits like brand personality are a value‐adding differentiation tool for marketers. While extant research has examined the relationships between brand personality and its antecedents, an extended and contemporary review is lacking ...
Wenxin Wang, Martin Heinberg, Martin Eisend   +2 more
wiley   +1 more source

Deep learning based semantic segmentation of leukemia effected white blood cell. [PDF]

PLoS One
Jan Z, Shabir M, Farman H, Rahman A, M Nasralla M.   +4 more
europepmc   +1 more source