Brain tumors are one of the deadliest diseases and require quick and accurate methods of detection. Finding the optimum image for research goals is the first step in optimizing MRI images for pre- and post-processing....
详细信息
The grading of fruits relies on inspections, experiences, and observations, with a proposed system integrating machine learning techniques to assess fruit freshness. By analyzing 2D fruit portrayals based on shape and...
详细信息
The amount of information nowadays is rapidly growing. Aside from valuable information, information that is unrelated to a target or is meaningless is also growing. Big data and broader digital technologies are consid...
详细信息
Artificial intelligence (AI) is a powerful technology with the potential to revolutionize various fields by incorporating human-like intelligence into systems and robots. Different types of AI, such as visual, textual...
详细信息
The event management mechanism matches messages that have been subscribed to and events that have been published. To identify the subscriptions that correspond to the occurrence inside the category, it must first run ...
详细信息
Metaheuristic algorithms have probable to solve global optimization problems in various fields of engineering and industry. To find a global solution by exploring irregular or non-linear surfaces, classical optimizati...
详细信息
Safeguarding visual data is crucial in today's digital world. This paper introduces an image encryption method based on time-seeded randomization, QR decomposition, and Discrete Wavelet Transform (DWT) methods. In...
详细信息
The most serious and hazardous for an electrical provider these days are non-technical losses caused due to electricity theft. The economy as a whole is impacted by fraudulent electricity usage, which lowers supply qu...
详细信息
Breast cancer is a common cause of death among women *** imaging is a valuable diagnostic tool in breast cancer ***,the accuracy of computer-aided diagnosis systems for breast cancer classification is limited due to t...
详细信息
Breast cancer is a common cause of death among women *** imaging is a valuable diagnostic tool in breast cancer ***,the accuracy of computer-aided diagnosis systems for breast cancer classification is limited due to the lack of well-annotated *** study proposes a deep learning(DL)-based framework for breast mass classification using ultrasound images,which incorporates a novel data augmentation technique,generative adversarial network(GAN),and transfer learning(TL).Automating early tumor identification and classification in breast cancer diagnosis can save lives by improving the accuracy of diagnoses and reducing the need for invasive ***,the limited availability of wellannotated datasets for ultrasound images of breast cancer has hampered the development of accurate computer-aided diagnosis *** accuracy of breast mass classification using ultrasound images is limited due to the lack of well-annotated *** data augmentation techniques have limitations in applications with strict guidelines,such as medical ***,there is a need to develop a novel data augmentation technique to improve the accuracy of breast mass classification using ultrasound *** proposed framework can be extended to other medical imaging applications,where the availability of well-annotated datasets is *** GAN-based data augmentation technique and TL-based feature extraction can be used to improve the accuracy of classification models in other medical imaging ***,the proposed framework can be used to develop accurate computer-aided diagnosis systems for breast cancer detection in clinical *** proposed framework incorporates a DL-based approach for breast mass classification using ultrasound *** framework includes a GAN-based data augmentation technique and TL for feature *** dataset used for training and testing the model is the breast ultraso
This project introduces a novel method for smart dental image segmentation by leveraging Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and the U-net architecture. The process begins wit...
详细信息
暂无评论