Deep learning and the Internet of Things (IoT) are revolutionizing the healthcare industry. This study explores the potential commercial transformation resulting from IoT-enabled healthcare systems that use deep learn...
详细信息
The Biggest demanding situations for the attention professional is the identification and prognosis of the eye diseases from the given retinal pictures. The process of figuring out the form of eye sicknesses is hard a...
详细信息
By eliminating the need to sign up for hundreds of centralised services all over the world and develop APIs for each of them, blockchain paves the way for data suppliers and users to exchange information directly in a...
详细信息
Maintaining an approximate maximum independent set of a dynamic collection of objects has been studied extensively in the past few years. Recently, Bhore, Nöllenburg, Tóth, and Wulms (SoCG 2024) showed that ...
详细信息
Magnetic resonance imaging (MRI) has become a valuable diagnostic assessment means for the detection, segmentation, and characterization of brain tumors. However, low brightness and low contrast in MRI images pose a s...
详细信息
ISBN:
(纸本)9789819994410
Magnetic resonance imaging (MRI) has become a valuable diagnostic assessment means for the detection, segmentation, and characterization of brain tumors. However, low brightness and low contrast in MRI images pose a significant challenge for accurate tumor detection, especially in the early stages. Several approaches have been proposed to address this challenge, including image enhancement and filtering techniques. However, these methods often result in loss of image details, making it difficult to discern the tumor regions from the non-tumor ones. To overcome these limitations, deep learning-based approaches have gathered attention in recent years for their capability to automatically learn features from the input images and achieve high accuracy in various medical imaging tasks. The aim of our research is to present a deep learning-based methodology for detecting brain tumors in low-brightness and low-contrast MRI images. We employ a neural network with convolutions’ (CNN) architecture, which has been proven to be effective in acquiring complex image features. Previous studies have used deep learning techniques for brain tumor segmentation and detection (Ramin Ranjbarzadeh et al. in Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images [1]). However, these studies did not specifically address the problem of low brightness and low contrast in MRI images. In contrast, our proposed method is designed to capture the subtle differences between tumor regions and non-tumor regions in such MRI images. Our CNN model has been trained and validated on a larger dataset of MRI images, including both normal and tumor-containing images. Our results demonstrate that our proposed method achieves high accuracy and specificity in detecting brain tumors, even in low-brightness and low-contrast MRI images. Additionally, our method has the potential to aid healthcare professionals in precisely and promptly pronouncing tumors
The current education system emphasizes research work and publications, urging students and faculty to actively engage in academic activities like workshops, seminars, symposium, and conferences. However, the lack of ...
详细信息
The software development projects’ testing part is usually expensive and complex, but it is essential to gauge the effectiveness of the developed software. Software Fault Prediction (SFP) primarily serves to detect f...
详细信息
One particular kind of UAV that is frequently employed for searching and rescue, reconnaissance, and other purposes is the quadcopter. To reduce the amount of human oversight during quadcopter navigation, an obstacle ...
详细信息
Supermarkets and grocery stores aim to improve customer experience and maximize sales. Recommending frequently bought items and optimizing the layout of products can enhance customer satisfaction and sales revenue. Th...
详细信息
A Twitter account was made with the efficient use of a conversation bot as its main goal, and it has since accumulated followers consistently and automatically. Software systems can be interfaced with using a wide var...
详细信息
暂无评论