Results 81 to 90 of about 23,891 (225)

A Semantic Segmentation Network for Colorectal Polyp Images With Progressive Fusion of Dual‐Branch Features

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground–background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly
Tianxu Yan, Jiabin Yu, Zheng Li, Liangyu Chen, Hongmei Mi, Luyang Chen, Wei Si, Dongping Zhang, Hui Lin   +8 more
wiley   +1 more source

A Survey of the Archival Audit Literature Une revue de la littérature en matière d'audit fondée sur les données archivales

Contemporary Accounting Research, EarlyView.
ABSTRACT External audits enhance the credibility of financial statements and are a cornerstone of capital market integrity. However, the growing and complex auditing literature poses challenges for researchers. This survey synthesizes and critically evaluates archival audit research published in top accounting journals from 1995 to 2025, organizing ...
Clive Lennox, Chan Li, Yiqian Wang
wiley   +1 more source

Proteomic profile of CSF obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival: CXCL7 levels in disease prognosis and survival

Brain Pathology, EarlyView.
Untargeted multiomic profiling of cerebrospinal fluid reveals that proteomic, but not lipidomic, signatures robustly distinguish ALS patients from controls and stratify individuals by survival, highlighting marked molecular differences between short survival and long survival disease.
Sergio Roca‐Pereira, Yaiza López‐Sampere, Pol Mengod‐Soler, Mario Peña‐Fonteboa, Carla Marco, Alejandro Caravaca‐Puchades, Raúl Domínguez, Juan Francisco Vázquez‐Costa, Enrique Santamaría, Joaquín Fernández‐Irigoyen, María J. Colomina, Isabel León Moreno, Antonio Martínez Yélamos, Sergio Martínez Yélamos, Gabriel Santpere, Elia Obis, Manuel Portero‐Otín, Gerard Piñol‐Ripoll, Mónica Povedano, Pol Andrés‐Benito   +19 more
wiley   +1 more source

Defect Detection Method of Phosphor in Glass Based on Improved YOLO5 Algorithm

, 2023
Phosphor in Glass (PiG) is easy to be stirred unevenly during production and processing, and improper use of instruments and other factors lead to defective products. In this paper, we propose an improved YOLOv5 target detection algorithm.
Chenhao Shao, Yong Qin, Zhenye Pan
core   +1 more source

A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance

Computer Graphics Forum, EarlyView.
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen, Pauli Kemppinen, Jaakko Lehtinen   +2 more
wiley   +1 more source

OPTIMASI DETEKSI PENYAKIT DAUN TEH BERBASIS YOLOV8 MENGGUNAKAN CONVOLUTIONAL BLOCK ATTENTION MODULE (CBAM) DAN BIDIRECTIONAL FEATURE PYRAMID NETWORK (BiFPN) [PDF]

Deteksi dini penyakit daun teh penting untuk menjaga kualitas produksi, namun proses ini menghadapi tantangan berupa keragaman bentuk dan ukuran gejala serta latar belakang citra yang kompleks. Penelitian ini mengoptimalkan YOLOv8 dengan mengintegrasikan
Armijantoro, Gilang Rahmadhan
core  

Deep Residual Combiner: A Learned Fusion of Spatial, Temporal, and Multiscale Correlated Pixel Estimates

Computer Graphics Forum, EarlyView.
Abstract Correlation‐based rendering techniques continue to advance, and efficiently exploiting correlations between pixel estimates has become increasingly important. The deep combiner framework [BHHM20] allows us to fuse independent and correlated pixel estimates but focuses solely on spatial correlations.
W. Zhou, E. Hughes, T. Hachisuka
wiley   +1 more source

From observation to understanding: A multi‐agent framework for smart microscopy

Journal of Microscopy, EarlyView.
Abstract Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these systems are now capable of adaptive decision‐making and real‐time experimental control.
P. S. Kesavan, Pontus Nordenfelt
wiley   +1 more source

NCSBFF-Net: Nested Cross-Scale and Bidirectional Feature Fusion Network for Lightweight and Accurate Remote-Sensing Image Semantic Segmentation

Semantic segmentation has emerged as a critical research area in Earth observation. This paper proposes a novel end-to-end semantic segmentation network, the Nested Cross-Scale and Bidirectional Feature Fusion Network (NCSBFF-Net), to address issues such
Binqiang Zhang, Dawei Wen, Yuan Tian, Shihao Zhu   +3 more
core   +1 more source

Chronic silencing of subsets of cortical layer 5 pyramidal neurons has a long‐term influence on the laminar distribution of parvalbumin interneurons and the perineuronal nets

Journal of Anatomy, Volume 246, Issue 4, Page 479-504, April 2025.
Chronic silencing of subsets of layer 5 projection neurons has distinct effects on the laminar distribution of PV interneurons and the perineuronal nets in the adult primary motor and somatosensory cortex. Abstract Neural networks are established throughout cortical development, which require the right ratios of glutamatergic and GABAergic neurons ...
Florina P. Szabó, Veronika Sigutova, Anna M. Schneider, Anna Hoerder‐Suabedissen, Zoltán Molnár   +4 more
wiley   +1 more source