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Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges
DH Lee, SN Yoon - International journal of environmental research and …, 2021 - mdpi.com
This study examines the current state of artificial intelligence (AI)-based technology
applications and their impact on the healthcare industry. In addition to a thorough review of …
applications and their impact on the healthcare industry. In addition to a thorough review of …
The application of medical artificial intelligence technology in rural areas of develo** countries
J Guo, B Li - Health equity, 2018 - liebertpub.com
Background: Artificial intelligence (AI) is a rapidly develo** computer technology that has
begun to be widely used in the medical field to improve the professional level and efficiency …
begun to be widely used in the medical field to improve the professional level and efficiency …
Artificial intelligence in health care: laying the foundation for responsible, sustainable, and inclusive innovation in low-and middle-income countries
Abstract The World Health Organization and other institutions are considering Artificial
Intelligence (AI) as a technology that can potentially address some health system gaps …
Intelligence (AI) as a technology that can potentially address some health system gaps …
Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection
This paper presents an effective scheme for classification of the normal white blood cells
from the affected cells in a microscopic image. The proposed method initially pre-processes …
from the affected cells in a microscopic image. The proposed method initially pre-processes …
Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection
In this paper, we have proposed an acute lymphoblastic leukemia detection strategy from
the microscopic images. The scheme utilizes all the steps associated with any other …
the microscopic images. The scheme utilizes all the steps associated with any other …
Real-world application, challenges and implication of artificial intelligence in healthcare: an essay
This essay examines the state of Artificial Intelligence (AI) based technology applications in
healthcare and the impact they have on the industry. This study comprised a detailed review …
healthcare and the impact they have on the industry. This study comprised a detailed review …
Automated leukaemia detection using microscopic images
N Patel, A Mishra - Procedia computer science, 2015 - Elsevier
In this paper, automated approach of leukaemia detection is proposed. In a manual method
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …
[HTML][HTML] Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization
In this research, we propose an intelligent decision support system for acute lymphoblastic
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …
leukaemia (ALL) diagnosis using microscopic images. Two Bare-bones Particle Swarm …
Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …