As the world of smart cities is going through a vast transformation of digitization, the need to incorporate Big Data analysis in industries is becoming vital. Even though such systems already exist, it is important t...
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With an aging population and an increase in chronic sickness, healthcare systems are under increasing pressure. Internet of Things (IoT) technology has recently garnered a lot of interest for its ability to alleviate ...
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Spam messages have become a pervasive issue in digital communication, posing significant challenges to users and organizations alike. As the volume of text-based interactions continues to grow, particularly in low-res...
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Class imbalance in medical X-ray image datasets poses a significant challenge for developing accurate machine-learning models. This paper presents a novel 'Integrated Strategy for Addressing Class Imbalance in Med...
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The rapid evolution of information sharing and portable device technologies has led to a drastic increase in the number of smart devices, which helps in enhancing the level of comfort and intelligence in every househo...
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In the current era, technology helps a lot to enhance human experiences leading to smart city development, which includes optimized energy usage, better healthcare availability, minimal governance, and intelligent mob...
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In today's time several deadly tumors are present like breast cancer, liver cancer, oral cancer, etc. Brain tumor is also one such disease. It is a biological condition in which the brain's normal functioning ...
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Alzheimer's disease detection and classification using deep learning techniques offer significant advancements in early diagnosis and progression analysis of this neurodegenerative disorder. This approach leverage...
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Lung cancer is the leading cause of mortality in the world affectingboth men and women *** a radiologist just focuses on the patient’sbody, it increases the amount of strain on the radiologist and the likelihoodof mi...
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Lung cancer is the leading cause of mortality in the world affectingboth men and women *** a radiologist just focuses on the patient’sbody, it increases the amount of strain on the radiologist and the likelihoodof missing pathological information such as abnormalities are *** of the primary objectives of this research work is to develop computerassisteddiagnosis and detection of lung cancer. It also intends to make iteasier for radiologists to identify and diagnose lung cancer accurately. Theproposed strategy which was based on a unique image feature, took intoconsideration the spatial interaction of voxels that were next to one *** the U-NET+Three parameter logistic distribution-based technique, wewere able to replicate the situation. The proposed technique had an averageDice co-efficient (DSC) of 97.3%, a sensitivity of 96.5% and a specificity of94.1% when tested on the Luna-16 dataset. This research investigates howdiverse lung segmentation, juxta pleural nodule inclusion, and pulmonarynodule segmentation approaches may be applied to create computer AidedDiagnosis (CAD) systems. When we compared our approach to four otherlung segmentation methods, we discovered that ours was the most *** employed 40 patients from Luna-16 datasets to evaluate this. In termsof DSC performance, the findings demonstrate that the suggested techniqueoutperforms the other strategies by a significant margin.
The medical services industry is on the cusp of another period driven by the union of distributed computing, man-made consciousness (simulated intelligence), and the Ayushman Bharat Wellbeing Record (ABHA) card drive....
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