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A Cost‐Effective and Scalable Machine Learning Approach for Quality Assessment of Fresh Maize Kernel Using NIR Spectroscopy [PDF]
Advanced ScienceIn fresh maize breeding, developing robust and accurate near‐infrared (NIR) calibration models traditionally requires significant time, cost, and labor.
Jiang Shi +9 more
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Image denoising and segmentation model construction based on IWOA-PCNN [PDF]
Scientific Reports, 2023 The research suggests a method to improve the present pulse coupled neural network (PCNN), which has a complex structure and unsatisfactory performance in image denoising and image segmentation.
Xiaojun Zhang
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Simulation analysis of visual perception model based on pulse coupled neural network [PDF]
Scientific Reports, 2023 Pulse-coupled neural networks perform well in many fields such as information retrieval, depth estimation and object detection. Based on pulse coupled neural network (PCNN) theory, this paper constructs a visual perception model framework and builds a ...
Mingdong Li
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Visual Cascaded-Progressive Convolutional Neural Network (C-PCNN) for Diagnosis of Meniscus Injury [PDF]
Diagnostics, 2023 Objective: The objective of this study is to develop a novel automatic convolutional neural network (CNN) that aids in the diagnosis of meniscus injury, while enabling the visualization of lesion characteristics. This will improve the accuracy and reduce
Yingkai Ma +10 more
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Applied Sciences (Switzerland), 2019 Breast cancer is the leading cause of cancer death in women, and early detection can reduce mortality. Architectural distortion (AD) is a feature of clinical manifestations for breast cancer, however, due to its complex structure and low detection ...
Min Dong, Guangming Du, Xiaomin Mu
exaly +3 more sources
Frequency Domain Characteristics Analysis of Non-Coupled PCNN [PDF]
Jisuanji gongcheng, 2022 The Pulse Coupled Neural Network (PCNN) model is characterized by pulse modulation and coupling connection, which is widely used in the field of digital image processing.However, the existing research on the PCNN model focuses on analyzing the ...
DENG Xiangyu, Lü Yahui, CHEN Yan
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A NOVEL REMOTE SENSING IMAGE REGISTRATION ALGORITHM BASED ON THE ADAPTIVE PCNN SEGMENTATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The appropriate feature segmentation can further improve the remote sensing image registration. The paper proposes a novel adaptive region-based registration method for remote sensing image, which combines the PCNN segmentation and feature-based method ...
J. F. Ge +9 more
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Applied Sciences, 2023 Biochemical recurrence (BCR) of prostate cancer occurs when the PSA level increases after treatment. BCR prediction is necessary for successful prostate cancer treatment.
Jae-Kwon Kim +2 more
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IEEE Access, 2020 A pulse-coupled neural network (PCNN) is a promising image segmentation approach that requires no training. However, it is challenging to successfully apply a PCNN to medical image segmentation due to common but difficult scenarios such as irregular ...
Peirui Bai +8 more
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A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
IEEE Access, 2020 A novel method for multi-channel pulse coupled neural networks (PCNN) is proposed in order to overcome the difficulty in lack of M-PCNN and question of many images fusion and instability of double-channel PCNN due to the different fusion sequence.
Yi Li, Junli Zhao
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