Prediction of Kidney Stones Using Machine Learning

نویسندگان

چکیده

Kidney stones are a prevalent disease all over the world, resulting in many of us being rushed to hospital excruciating pain. Calculus illness is diagnosed using variety imaging modalities. For interpretation and thorough diagnosis photos, specialists required. Computer-aided systems practical ways that can be utilized as supplemental tools aid clinicians their diagnosis. During this project, deep learning (DL) technique was used propose an automatic kidney coronal X-ray (CT) pictures, which has made great advances field AI. Keywords: stone, medical image, Deep learning, Computed tomography

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

متن کامل

Predicting the cause of kidney stones in patients using random forest, support vector machine and neural network

Background: Today, with the advancement of technology in various fields, the importance of recording data in the field of health is increasing so much that for many diseases around the world, including kidney disease, registration systems have been set up. This is happening in our country and in the future, the number of these systems will increase. The medical data set contains valuable inform...

متن کامل

Thermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

متن کامل

Thermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

متن کامل

Gene Prediction Using Machine Learning Techniques

The basic purpose of the research work aims at predicting the genes of interest in molecular sequence databases using machine learning techniques like neural networks, decision trees, data mining, hidden markov models etc The primary focus of the research will be on proposing new or improving already existing ab initio and homology based methods for gene prediction. The proposed methods will be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management

سال: 2023

ISSN: ['2582-3930']

DOI: https://doi.org/10.55041/ijsrem24516