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Robotic wireless capsule endoscopy: recent advances and upcoming technologies
Q Cao, R Deng, Y Pan, R Liu, Y Chen, G Gong… - Nature …, 2024 - nature.com
Wireless capsule endoscopy (WCE) offers a non-invasive evaluation of the digestive system,
eliminating the need for sedation and the risks associated with conventional endoscopic …
eliminating the need for sedation and the risks associated with conventional endoscopic …
Magnetically actuated capsule robots: A review
Capsule endoscopy is a procedure that uses a tiny wireless camera inside a capsule
endoscope to capture pictures of the patient's gastrointestinal tract for diagnosis …
endoscope to capture pictures of the patient's gastrointestinal tract for diagnosis …
[HTML][HTML] An effective method for lung cancer diagnosis from ct scan using deep learning-based support vector network
Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …
computed tomography images and employs deep learning-supported support vector …
Predicting household electric power consumption using multi-step time series with convolutional LSTM
Energy consumption prediction has become an integral part of a smart and sustainable
environment. With future demand forecasts, energy production and distribution can be …
environment. With future demand forecasts, energy production and distribution can be …
Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …
death. Conventional breast cancer detection methods require several laboratory tests and …
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
Classification and analysis of android malware images using feature fusion technique
The super packed functionalities and artificial intelligence (AI)-powered applications have
made the Android operating system a big player in the market. Android smartphones have …
made the Android operating system a big player in the market. Android smartphones have …
Advances in machine learning processing of big data from disease diagnosis sensors
S Lu, J Yang, Y Gu, D He, H Wu, W Sun, D Xu, C Li… - ACS …, 2024 - ACS Publications
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …
Malware detection using image representation of malware data and transfer learning
With the increased proliferation of internet-enabled mobile devices and large internet use,
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …