A review of medical image segmentation algorithms

KKD Ramesh, GK Kumar, K Swapna… - … on Pervasive Health …, 2021 - publications.eai.eu
… the computational speed in the process of medical image … , treatment planning and follow
up studies; However, methods … for evaluating the breast and cyst mass [11]. These algorithms …

Medical imaging using machine learning and deep learning algorithms: a review

J Latif, C Xiao, A Imran, S Tu - … conference on computing …, 2019 - ieeexplore.ieee.org
… This paper provides a survey of medical imaging in the machine and deep learning
methods to analyze distinctive diseases. It carries consideration concerning the suite of these …

[HTML][HTML] Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019

MA Reyna, CS Josef, R Jeter… - … care medicine, 2020 - journals.lww.com
medical classification problems ( 15 ). In 2019, the Challenge’s 20th year, we asked participants
to develop automated techniques … utility scores on test data from hospital systems A, B, …

A review of deep learning based methods for medical image multi-organ segmentation

Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang - Physica Medica, 2021 - Elsevier
… to be contoured for treatment planning. We grouped the surveyed … The time analysis reported
in this study shows that the … be limited due to large computation complexity. Unlike CNN …

Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

M Karatas, L Eriskin, M Deveci, D Pamucar… - Expert Systems with …, 2022 - Elsevier
… these techniques intensively in the health sector for the analysis … individual’s health condition
and process the data obtained … As the computational power and sensing capabilities of the …

Edge computing for smart health: Context-aware approaches, opportunities, and challenges

AA Abdellatif, A Mohamed, CF Chiasserini… - IEEE …, 2019 - ieeexplore.ieee.org
… -EOG monitoring system as a case study and present an efficient technique that deals with …
In summary, at the MEN, our SAE encoder converts the input data x into the compressed data …

[HTML][HTML] Development of metaverse for intelligent healthcare

G Wang, A Badal, X Jia, JS Maltz, K Mueller… - Nature Machine …, 2022 - nature.com
… has greatly advanced medical imaging, testing the limits of … computational limitations and
uncertainties in biological models make this approach impractical for routine treatment planning

Edge computing for Internet of Things: A survey, e-healthcare case study and future direction

PP Ray, D Dash, D De - Journal of Network and Computer Applications, 2019 - Elsevier
… (2012) developed a system which continuously monitors … analyzed by the KAA edge computing
server, the analyzed data is … -making process becomes faster and easier in the e-health

[HTML][HTML] Brain tumor analysis empowered with deep learning: A review, taxonomy, and future challenges

MW Nadeem, MAA Ghamdi, M Hussain, MA Khan… - Brain sciences, 2020 - mdpi.com
… , recognition procedures and treatment plans for cancer patients. … method, as the images
have more mass. The proposed … in the domain of soft computing and medical images. Machine …

TCM network pharmacology: a new trend towards combining computational, experimental and clinical approaches

W Xin, W Zi-Yi, JH Zheng, LI Shao - Chinese journal of natural medicines, 2021 - Elsevier
… To verify the mechanism and material basis of a TCM … and after YinXieLing treatment for
proteomic testing and further … by combining computational and experimental methods and to …