Automatic video censoring system using deep learning

Due to the extensive use of video-sharing platforms and services, the amount of such all kinds of content on the web has become massive. This abundance of information is a problem controlling the kind of content that may be present in such a video. More than telling if the content is suitable for children and sensitive people or not, figuring it out is also important what parts of it contains such content, for preserving parts that would be discarded in a simple broad analysis. To tackle this problem, a comparison was done for popular image deep learning models: MobileNetV2, Xception model, InceptionV3, VGG16, VGG19, ResNet101 and ResNet50 to seek the one that is most suitable for the required application. Also, a system is developed that would automatically censor inappropriate content such as violent scenes with the help of deep learning. The system uses a transfer learning mechanism using the VGG16 model. The experiments suggested that the model showed excellent performance for the automatic censoring application that could also be used in other similar applications

Mammalian Target of Rapamycin Is a Therapeutic Target for Murine Ovarian Endometrioid Adenocarcinomas with Dysregulated Wnt/β-Catenin and PTEN

Despite the fact that epithelial ovarian cancers are the leading cause of death from gynecological cancer, very little is known about the pathophysiology of the disease. Mutations in the WNT and PI3K pathways are frequently observed in the human ovarian endometrioid adenocarcinomas (OEAs). However, the role of WNT/β-catenin and PTEN/AKT signaling in the etiology and/or progression of this disease is currently unclear. In this report we show that mice with a gain-of-function mutation in β-catenin that leads to dysregulated nuclear accumulation of β-catenin expression in the ovarian surface epithelium (OSE) cells develop indolent, undifferentiated tumors with both mesenchymal and epithelial characteristics. Combining dysregulated β-catenin with homozygous deletion of PTEN in the OSE resulted in development of significantly more aggressive tumors, which was correlated with inhibition of p53 expression and cellular senescence. Induced expression of both mTOR kinase, a master regulator of proliferation, and phosphorylation of its downstream target, S6Kinase was also observed in both the indolent and aggressive mouse tumors, as well as in human OEA with nuclear β-catenin accumulation. Ectopic allotransplants of the mouse ovarian tumor cells with a gain-of-function mutation in β-catenin and PTEN deletion developed into tumors with OEA histology, the growth of which were significantly inhibited by oral rapamycin treatment. These studies demonstrate that rapamycin might be an effective therapeutic for human ovarian endometrioid patients with dysregulated Wnt/β-catenin and Pten/PI3K signaling

A NOBEL HYBRID APPROACH FOR EDGE DETECTION

ABSTRAC

A Hybrid Technique for Image Retrieval Using Canny and Neural Network

Today image retrieval is big area of research. Specially, over internet it is widely used. Edge Detection plays an important role to detect edges. An edge of the object /Image can be used to define the shape and structure of image. Shape is an important feature of image through which the images can be browsed from large image database. The novel hybrid method based on the Canny Algorithm and Neural Network is proposed for image retrieval to get the image at very fast rate. The hybrid architecture is used to take the advantage of more than one technique in one umbrella. Image pre processing is done before applying the neural network. In image processing, image Smoothing is performed using Gaussian Filter and Fuzzy Technique applied to convert Gray level image in binary image. Finally, neural network is designed and trained for detecting actual edges. Neural network is a wonderful tool to work on real world data. Error Back-Propagation classification technique of neural network is to be used to detect proper edges

The obturator hernia: difficult diagnosis- easy repair

Obturator hernia is rare pelvic hernia difficult to diagnose clinically because of non specific symptoms and obscure physical findings. Delayed diagnosis, frequent complications leads to significant mortality. Use of computerised tomography in diagnosis and early repair either suture based or mesh placement depending on circumstances is associated with good outcome