Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
A review of deep learning techniques for lung cancer screening and diagnosis based on CT images
One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …
identification of lung cancer can increase a patient's probability of survival. A frequently used …
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …
problems related to medical practices. However, researchers are constantly struggling to …
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence
Abstract Background and Objective Artificial intelligence (AI) has several uses in the
healthcare industry, some of which include healthcare management, medical forecasting …
healthcare industry, some of which include healthcare management, medical forecasting …
[PDF][PDF] Predicting Titanic Survivors using Artificial Neural Network
AM Barhoom, AJ Khalil, BS Abu-Nasser, MM Musleh… - 2019 - researchgate.net
Although the Titanic disaster happened just over one hundred years ago, it still appeals
researchers to understand why some passengers survived while others did not. With the use …
researchers to understand why some passengers survived while others did not. With the use …
Performance analysis of state-of-the-art cnn architectures for luna16
The convolutional neural network (CNN) has become a powerful tool in machine learning
(ML) that is used to solve complex problems such as image recognition, natural language …
(ML) that is used to solve complex problems such as image recognition, natural language …
Prediction and classification of lung cancer using machine learning techniques
P Chaturvedi, A Jhamb, M Vanani… - IOP conference series …, 2021 - iopscience.iop.org
In all the disease that have existed in mankind lung cancer has emerged as one of the most
fata one time and again. Also, it is one of the most common and contributing to deaths …
fata one time and again. Also, it is one of the most common and contributing to deaths …
Cardiovascular disease detection using ensemble learning
A Alqahtani, S Alsubai, M Sha… - Computational …, 2022 - Wiley Online Library
One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …
disease as earlier as possible. Many individuals worldwide die each year from …
Tic-Tac-Toe Learning Using Artificial Neural Networks
MA Dalffa, BS Abu-Nasser, SS Abu-Naser - 2019 - philpapers.org
Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play
tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of …
tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of …
Diagnosis of lung cancer based on CT scans using CNN
HF Al-Yasriy, MS Al-Husieny, FY Mohsen… - IOP conference …, 2020 - iopscience.iop.org
Lung cancer is one of the most lethal cancer types; thousands of peoples are infected with
this type of cancer, and if they do not discover it in the early stages of the disease, then the …
this type of cancer, and if they do not discover it in the early stages of the disease, then the …