[HTML][HTML] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …
networks has significantly progressed and advanced the field of computer vision (CV) and …
Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
[HTML][HTML] A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and …
M Rahimzadeh, A Attar - Informatics in medicine unlocked, 2020 - Elsevier
In this paper, we have trained several deep convolutional networks with introduced training
techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
[HTML][HTML] A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Nowadays, automatic disease detection has become a crucial issue in medical science due
to rapid population growth. An automatic disease detection framework assists doctors in the …
to rapid population growth. An automatic disease detection framework assists doctors in the …
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
Lung cancer is one of the most common diseases for human beings everywhere throughout
the world. Early identification of this disease is the main conceivable approach to enhance …
the world. Early identification of this disease is the main conceivable approach to enhance …
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
At present times, the drastic advancements in the 5G cellular and internet of things (IoT)
technologies find useful in different applications of the healthcare sector. At the same time …
technologies find useful in different applications of the healthcare sector. At the same time …
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
In recent days, the incidence of Diabetic Retinopathy (DR) has become high, affecting the
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …
Deep neural network correlation learning mechanism for CT brain tumor detection
M Woźniak, J Siłka, M Wieczorek - Neural Computing and Applications, 2023 - Springer
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …
Computational Intelligence on the way to detect potential health problems in more efficient …
[Retracted] Lung Cancer Classification and Prediction Using Machine Learning and Image Processing
Lung cancer is a potentially lethal illness. Cancer detection continues to be a challenge for
medical professionals. The true cause of cancer and its complete treatment have still not …
medical professionals. The true cause of cancer and its complete treatment have still not …