This research paper presents a website that leverages the power of the image GPT engine for image generation. The website allows users to input a textual prompt and generate a corresponding image using image GPT's...
详细信息
Early detection and accurate prediction of liver disease play a crucial role in improving patient outcomes and reducing the burden on healthcare systems. Segmenting the liver and its tumors using computed tomography (...
详细信息
Early detection and accurate prediction of liver disease play a crucial role in improving patient outcomes and reducing the burden on healthcare systems. Segmenting the liver and its tumors using computed tomography (CT) images is an essential undertaking for the diagnosis and treatment of liver illnesses. Because of the uneven distribution, hazy boundaries, varied densities, forms, and sizes of lesions, segmenting the liver and associated tumor is a challenging task. Up until this point, our primary focus has been on developing deep learning algorithms that can separate the liver and its tumor from CT scan pictures of the abdomen, saving time and effort when diagnosing liver illnesses. A deep learning-based automatic segmentation method is presented that uses the improved densenet121 model to segment the liver and its tumor. In this model imageprocessing is used for the accurate automated segmentation of tumors, the proposed method demonstrates the ability to accurately segment the liver as well, as indicated by the confusion matrix obtained when comparing to the previous work on liver and tumor segmentation. The Densenet121 architecture serves as the foundation for the algorithm employed here, we introduced an autonomous technique to segment the liver from CT scans and lesions from the segmented liver region, based on semantic segmentation convolutional neural networks ( CNNs). For liver and tumor segmentations, respectively, the suggested system achieves an accuracy of 95.31% to 95.39%.
This paper delves into an innovative image recognition algorithm that merges deep learning techniques with Generative Adversarial Networks (GANs) and offers a comparative analysis against traditional image recognition...
详细信息
In order to solve the problems of small key space and simple chaotic behavior of low-dimensional chaotic systems in discrete domain, an N-dimensional discrete chaotic mapping system is proposed. An N-dimensional discr...
详细信息
ISBN:
(数字)9798350349115
ISBN:
(纸本)9798350349122
In order to solve the problems of small key space and simple chaotic behavior of low-dimensional chaotic systems in discrete domain, an N-dimensional discrete chaotic mapping system is proposed. An N-dimensional discrete chaotic system is obtained by coupling Chebyshev mapping with ICMIC mapping. Taking two-dimensional chaotic mapping as an example, the Lyapunov index, bifurcation graph, correlation and other properties of the discrete chaotic system are analyzed and applied to more classical image encryption algorithms. Experimental simulation results show that the N-dimensional discrete chaotic mapping system has larger key space, better chaotic behavior, and better security performance for image encryption algorithms.
In recent years, image deblurring algorithms based on Generative Adversarial Network (GAN) have been proposed. The motion deblurring has been studied for some time. The multi-scale architecture of convolutional neural...
详细信息
Augmented Reality (AR) refers to the perfect integration of virtual information with the real environment through computer technology, enhancing people's understanding of the real environment. Due to its excellent...
详细信息
The multi-exposure fusion algorithms can effectively improve the dynamic range of light field imaging, but distortion is inevitably introduced during the process. Therefore, it is crucial to construct an effective qua...
详细信息
With the rapid advancement of Internet technology, the threat of malware to computer systems and network security has intensified. Malware affects individual privacy and security and poses risks to critical infrastruc...
详细信息
The development of target detection and recognition algorithms in the field of imageprocessing has promoted the development of automatic image conversion systems for digital musical scores and related algorithms. Thi...
详细信息
With vehicles becoming a necessity for people's life and work, the vigorous development of intelligent vehicles is of great significance in today's society in order to reduce traffic accidents, lower operating...
详细信息
暂无评论