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Results for Convolutional Neural Network

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8 papers · ranked by Valyu relevance

01
PPubMed7 Sep 2026
Automated segmentation of lymph node metastases in colorectal cancer based on convolutional KAN
Peng Wang, Zixiong Fan, Haoyu Wu, Kaijiao Wang + 4 more
Accurate preoperative segmentation of colorectal cancer lymph node metastasis holds significant clinical value for formulating individualized surgical strategies. However, accurate segmentation remains a formidable challenge due to the complex backgrounds, small sizes, irregular shapes, and indistinct boundaries…
80relevance
02
PPubMed5 Sep 2026
Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks
Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan
Traffic collisions and congestion represent significant challenges within intelligent transportation systems (ITS). Consequently, a vehicular ad-hoc network (VANET) has been established. Numerous architectures have been incorporated into VANETs to manage the extensive data generated by vehicles. Collaboration with fog…
78relevance
03
PPubMed7 Sep 2026
Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data
Xiaoyue Hu, Yuhao Ma, Ruixing Ming, Heping Zhang + 1 more
Identifying essential biomarkers remains a core challenge in elucidating the pathogenic mechanisms and achieving precise diagnosis of complex diseases. Deep neural networks offer immense predictive power, yet their lack of interpretability severely limits downstream biological insight. Here, we introduce DeepVaris, an…
75relevance
04
PPubMed5 Sep 2026
A CNN-based approach to riparian buffer strip quality monitoring in agricultural areas using satellite imagery
Samuel de la Sablonnière, Samuel Foucher, Yacine Bouroubi, Philippe Vigneault + 1 more
Vegetated riparian buffers play a critical role in maintaining ecological health and water quality, yet efficient characterization and large-scale monitoring remain challenging due to the resource demands of traditional field campaigns. This study, conducted in an agricultural setting, introduces a straightforward…
75relevance
05
BbioRxiv8 Sep 2026
Biologically grounded locality priors close the data gap for vision transformers in neural prediction
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
70relevance
06
PPubMed6 Sep 2026
An Intraoperative EEG Biomarker for Postoperative Delirium Predicting Based on Interpretable Deep Learning Framework
Yinuo Zhang, Yan Zhu, Xinxin Zhang, Xinke Shen + 8 more
Postoperative delirium (POD) is a common complication in older surgical patients and substantially worsens clinical outcomes, yet existing intraoperative electroencephalography (EEG) monitoring tools lack spatial and temporal specificity, creating a need for interpretable biomarkers. We prospectively analyzed…
68relevance
07
BbioRxiv8 Sep 2026
Concurrent model evidence computation and posterior sampling in continuous attractor network subspaces
Yi Ren, Zimei Chen, Hayden Deans, Ying Nian Wu + 1 more
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoretical studies focused on how the recurrent circuits compute the…
58relevance
08
BbioRxiv4 Sep 2026
Predictive learning with local plasticity in excitatory-inhibitory networks
Henrique Reis Aguiar, Matthias H. Hennig
Predictive coding is a powerful normative framework for understanding cortical computation, but it is still an open question how biologically plausible networks with local plasticity support predictive inference and representation learning. In this work we show that a recurrent excitatory-inhibitory circuit with purely…
50relevance

Results for Convolutional Neural Network

Automated segmentation of lymph node metastases in colorectal cancer based on convolutional KAN

Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

A CNN-based approach to riparian buffer strip quality monitoring in agricultural areas using satellite imagery

Biologically grounded locality priors close the data gap for vision transformers in neural prediction

An Intraoperative EEG Biomarker for Postoperative Delirium Predicting Based on Interpretable Deep Learning Framework

Concurrent model evidence computation and posterior sampling in continuous attractor network subspaces

Predictive learning with local plasticity in excitatory-inhibitory networks

Automated segmentation of lymph node metastases in colorectal cancer based on convolutional KAN

Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks

Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data

A CNN-based approach to riparian buffer strip quality monitoring in agricultural areas using satellite imagery

Biologically grounded locality priors close the data gap for vision transformers in neural prediction

An Intraoperative EEG Biomarker for Postoperative Delirium Predicting Based on Interpretable Deep Learning Framework

Concurrent model evidence computation and posterior sampling in continuous attractor network subspaces

Predictive learning with local plasticity in excitatory-inhibitory networks