Subjective and objective quality assessment of gastrointestinal endoscopy images: From manual operation to artificial intelligence

Gastrointestinal endoscopy has been identified as an important tool for cancer diagnosis and therapy, particularly for treating patients with early gastric cancer (EGC).It is well known that the quality of gastroscope images is a prerequisite for achieving a high detection rate of gastrointestinal lesions.Owing to manual operation of gastroscope de

read more

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

As the number of internet users increases so does the number of malicious attacks using malware.The detection of malicious code is becoming critical, and the existing approaches need to be improved.Here, we propose a feature fusion method to combine the features extracted from pre-trained AlexNet and Inception-v3 deep neural networks with features

read more