Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection [0.03%]
一种基于智能手机的糖尿病视网膜病变检测的优化混合机器学习方法
Shubhi Gupta,Sanjeev Thakur,Ashutosh Gupta
Shubhi Gupta
Diabetic Retinopathy (DR) is defined as the Diabetes Mellitus difficulty that harms the blood vessels in the retina. It is also known as a silent disease and cause mild vision issues or no symptoms. In order to enhance the chances of effect...
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique [0.03%]
基于新型深度学习与混合优化技术的早期乳腺癌诊断方法研究
Kranti Kumar Dewangan,Deepak Kumar Dewangan,Satya Prakash Sahu et al.
Kranti Kumar Dewangan et al.
Breast cancer is one of the primary causes of death that is occurred in females around the world. So, the recognition and categorization of initial phase breast cancer are necessary to help the patients to have suitable action. However, mam...
Epidemiological Mucormycosis treatment and diagnosis challenges using the adaptive properties of computer vision techniques based approach: a review [0.03%]
基于自适应属性的计算机视觉技术在穆科莫菌病治疗和诊断中的流行病学挑战：综述
Nira,Harekrishna Kumar
Nira
As everyone knows that in today's time Artificial Intelligence, Machine Learning and Deep Learning are being used extensively and generally researchers are thinking of using them everywhere. At the same time, we are also seeing that the sec...
Hiten Goyal,Karanveer Sidana,Charanjeet Singh et al.
Hiten Goyal et al.
In current times, after the rapid expansion and spread of the COVID-19 outbreak globally, people have experienced severe disruption to their daily lives. One idea to manage the outbreak is to enforce people wear a face mask in public places...
Real-time prediction of smoking activity using machine learning based multi-class classification model [0.03%]
基于机器学习的多分类模型的实时吸烟行为预测
Saurabh Singh Thakur,Pradeep Poddar,Ram Babu Roy
Saurabh Singh Thakur
Smoking cessation efforts can be greatly influenced by providing just-in-time intervention to individuals who are trying to quit smoking. Detecting smoking activity accurately among the confounding activities of daily living (ADLs) being mo...
Multipurpose medical image watermarking for effective security solutions [0.03%]
多功能医学图像水印技术实现有效安全防护
Rishi Sinhal,Sachin Sharma,Irshad Ahmad Ansari et al.
Rishi Sinhal et al.
Digital medical images contain important information regarding patient's health and very useful for diagnosis. Even a small change in medical images (especially in the region of interest (ROI)) can mislead the doctors/practitioners for deci...
Atharva Shah,Maharshi Gor,Meet Sagar et al.
Atharva Shah et al.
Market prediction has been a key interest for professionals around the world. Numerous modern technologies have been applied in addition to statistical models over the years. Among the modern technologies, machine learning and in general ar...
Machine learning-based automatic detection of novel coronavirus (COVID-19) disease [0.03%]
基于机器学习的新型冠状病毒(COVID-19)疾病自动检测方法
Anuja Bhargava,Atul Bansal,Vishal Goyal
Anuja Bhargava
The pandemic was announced by the world health organization coronavirus (COVID-19) universal health dilemma. Any scientific appliance which contributes expeditious detection of coronavirus with a huge recognition rate may be excessively fru...
Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model [0.03%]
基于深度迁移学习模型的农村和偏远地区人群胸部X光片新冠肺炎识别方法
Mamoun Qjidaa,Anass Ben-Fares,Hicham Amakdouf et al.
Mamoun Qjidaa et al.
In this article, we propose Deep Transfer Learning (DTL) Model for recognizing covid-19 from chest x-ray images. The latter is less expensive, easily accessible to populations in rural and remote areas. In addition, the device for acquiring...
A cad system design based on HybridMultiscale convolutional Mantaray network for pneumonia diagnosis [0.03%]
基于HybridMultiscale卷积Mantaray网络的肺炎诊断系统设计
Durga Prasad Mannepalli,Varsha Namdeo
Durga Prasad Mannepalli
Pneumonia is one of the diseases that people may encounter in any period of their lives. Recently, researches and developers all around the world are focussing on deep learning and image processing strategies to quicken the pneumonia diagno...