Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray [PDF]
, 2020 Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon in the right time and thus an early diagnosis of pneumonia is vital.
Chowdhury, Muhammad E. H. +7 more
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Disease Classification on Rice Leaves using DenseNet121, DenseNet169, DenseNet201
Sinkron, 2023 Rice is a plant that can grow in the tropics. This plant can produce food that can meet the needs of the people of a country. This plant can grow well if it is cared for properly. If the planting has used good care, such as providing adequate water, adding good fertilizer, it can be ascertained that it will produce a lot of rice fruit after harvesting.
Saputra, Adi Dwifana +2 more
openaire +2 more sources
Classification of Skin Cancer Lesions Using Explainable Deep Learning
Sensors, 2022 Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases ...
Muhammad Zia Ur Rehman +5 more
doaj +1 more source
Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images. [PDF]
, 2023 Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt intervention are paramount to reducing the incidence of DR-induced vision ...
Acharya, UR +12 more
core +1 more source
Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms
The Egyptian Journal of Radiology and Nuclear Medicine, 2021 Background This study aimed to propose an automatic prediction of COVID-19 disease using chest CT images based on deep transfer learning models and machine learning (ML) algorithms.
Seyed Masoud Rezaeijo +4 more
doaj +1 more source
Automatic detection of covid-19 based on CT Scan images using the convolution neural network [PDF]
, 2021 The 2019 coronavirus pandemic (Covid-19) has been declared a health emergency by WHO with the death rate steadily increasing worldwide, various efforts have been made to deal with this pandemic, from prediction to receiving medical imaging.
Damanik, Masdiana +5 more
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Evaluation of deep transfer learning methodologies on the covid-19 radiographic chest images [PDF]
, 2023 In 2019, the world had been attacked with a severe situation by the new version of the SARSCOV- 2 virus, which is later called COVID-19. One can use artificial intelligence techniques to reduce time consumption and find safe solutions that have the ...
DURU, ADİL DENİZ
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Signal2Image Modules in Deep Neural Networks for EEG Classification
, 2021 Deep learning has revolutionized computer vision utilizing the increased availability of big data and the power of parallel computational units such as graphical processing units.
Bizopoulos, Paschalis +2 more
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Fine Tuning CNN Pre-trained Model Based on Thermal Imaging for Obesity Early Detection
Jurnal Rekayasa Elektrika, 2022 Obesity is a complex disease that causes serious impact health, such as diabetes mellitus, cardiovascular disease, cancer, and stroke. An early obesity diagnosis/ detection method is required to prevent the increasing number of obese people.
Hendrik Leo, Fitri Arnia, Khairul Munadi
doaj +1 more source
Analysis of Touchless Mouse Technology for Physical Disabilities [PDF]
, 2023 We provide a touchless mouse system that surpasses past attempts by utilising deep learning models such as DenseNet169 and DenseNet201, in addition to an ensemble model.
Renu Ahlawat, et al.
core +2 more sources