A neuron image segmentation method based Deep Boltzmann Machine and CV model

Author:

He Fuyun,Huang Xiaoming,Wang Xun,Qiu Senhui,Jiang F.ORCID,Ling Sai Ho

Funder

Guangxi Normal University

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Natural Science Foundation of Guangxi Province

Guangxi Key Laboratory of Automatic Detection Technology and Instrument Foundation

Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference56 articles.

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4. Visualizing deep convolutional neural networks using natural pre-images;Aravindh Mahendran and Andrea Vedaldi;Int. J. Comput. Vis.,2016

5. Completely convex formulation of the chan-vese image segmentation model;Brown;Int. J. Comput. Vis.,2012

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2. A Power Grid Load Forecasting Method Based on MapReduce Improved Deep Boltzmann Machine;Lecture Notes in Electrical Engineering;2023

3. Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach;18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023);2023

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