The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing, as well as robotic and biological visions. The designs for CNN templates are one of the important issues for the practical applications of CNNs. This paper first describes and proves the local rules of the binary Point Extract (PE) CNN introduced by Roska et al., then extends the PE CNN to a gr...

Cellular neural networks (CNN) were introduced by Chua and Yang in 1998 [1]. The idea of the CNN was inspired from the architecture of the cellular automata and the neural networks. Unlike the conventional neural networks, the CNN has local connectivity property. Since the structure of the CNN resembles the structure of animals retina, the CNN can be used for various image processing applicatio...

Cellular Neural Network (CNN) is constructed the grating coupling of analog circuits. The performance of the CNN depends on the parameters called the template. Template can use for various image processing applications. In this study, we apply the CNN with delay output (D-CNN) to image processing. In a general way, the D-CNN is used by motion picture processing. However, we apply the D-CNN to i...

Oral squamous cell carcinoma (OSCC) is one of the deadliest and most common types cancer. The incidence OSCC increasing annually, which requires early diagnosis to receive appropriate treatment. biopsy technique important techniques for analyzing samples, but it takes a long time get results. Manual still subject errors differences in doctors’ opinions, especially stages. Thus, automated can he...

Background: To analyze the prognostic value of cervical node necrosis (CNN) observed on pretreatment magnetic resonance imaging (MRI) in patients with nasopharyngeal carcinoma (NPC) treated with intensity-modulated radiotherapy (IMRT). Patients and Methods: The medical records of 1423 NPC patients with cervical node metastasis who underwent IMRT were retrospectively reviewed. Lymph nodes in the...

Pneumonia is one of the deadliest diseases, killing 2-3 million people in developed countries like United States. Based on WHO's view, pneumonia leading causes death children worldwide, WHO says many under age 5 have died from disease. And 2017, World Health Organization (commonly known as WHO) reported that had claimed lives 800,000 5. This why researchers this program, to help public diagnose...

The formation of the pericentriolar matrix (PCM) and a fully functional centrosome in syncytial Drosophila melanogaster embryos requires the rapid transport of Cnn during initiation of the centrosome replication cycle. We show a Cnn and Polo kinase interaction is apparently required during embryogenesis and involves the exon 1A-initiating coding exon, suggesting a subset of Cnn splice variants ...

Representing the task of navigating a car through traffic using traditional algorithms is complex endeavor that presents significant challenges. To overcome this, researchers have started training artificial neural networks data from front-facing cameras, combined with corresponding steering angles. However, many current solutions focus solely on visual information camera frames, overlooking im...

Coronavirus disease 2019 (COVID-19) is a recent global pandemic that has affected many countries around the world, causing serious health problems, especially in lungs. Although temperature testing suggested as firstline test for COVID-19, it was not reliable because diseases have same symptoms. Thus, we propose deep learning method based on X-ray images used convolutional neural network (CNN) ...

With the rapid population growth, increasing agricultural productivity is an extreme requirement to meet demands. Early identification of crop diseases essential prevent yield loss. Nevertheless, it a tedious task manually monitor leaf diseases, as demands in-depth knowledge plant pathogens well lot work, and excessive processing time. For these purposes, various methods based on image processi...