Results 21 to 30 of about 2,638,596 (166)

Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets [PDF]

Neutrosophic Sets and Systems, 2015
This paper proposes a generalized distance measure and its similarity measures between single valued neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem with incomplete, indeterminate and inconsistent ...
Shan Ye, Jing Fu, Jun Ye
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HDTV System for Parkinson's Disease Diagnosis

Advances in Electrical and Computer Engineering, 2013
Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that ...
POHOATA, S., GRAUR, A.
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Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

Frontiers in Oncology
IntroductionA brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care ...
Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah   +7 more
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SympCoughNet: symptom assisted audio-based COVID-19 detection

Frontiers in Digital Health
COVID-19 remains a significant global public health challenge. While nucleic acid tests, antigen tests, and CT imaging provide high accuracy, they face inefficiencies and limited accessibility, making rapid and convenient testing difficult.
Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou   +5 more
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Rough Sets in Biomedical Informatics

Biomath, 2013
The intent of this paper is to face the essentials of granular computing and in its major component -  the rough sets theory, introduced by Pawlak, since any rough set represents  an information granule.
Antony Popov, Simeon Stoykov
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Lightweight CNN for accurate brain tumor detection from MRI with limited training data

Frontiers in Medicine
AimThis study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data availability.
Awad Bin Naeem, Awad Bin Naeem, Onur Osman, Shtwai Alsubai, Taner Cevik, Abdelhamid Zaidi, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed   +9 more
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Resolution Enhancement in Terahertz Imaging via Deconvolution

IEEE Access, 2019
Nowadays, terahertz (THz) imaging is quite promising in scientific and biomedical applications. However, the much longer wavelength degrades the resolution of obtained images compared with classical imaging at optical frequencies.
Wei Ning, Feng Qi, Zhaoyang Liu, Yelong Wang, Hongming Wu, Jinkuan Wang   +5 more
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Artificial intelligence in medical diagnosis

Current Medicine Research and Practice, 2020
The use of artificial intelligence (AI) in medicine made its beginning five decades ago in 1972 when researchers at Stanford University in the USA developed an expert system MYCIN for treating blood infections.
Ronit Jaiswal, Ramesh Lal Sapra, Girish K Jha, Samiran Nundy   +3 more
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ENSEMBLE METHODS FOR SOLVING PROBLEMS OF MEDICAL DIAGNOSIS

Известия Томского политехнического университета: Промышленная кибернетика, 2023
The authors proposed the consolidating method for analyzing series of observations based on a fitted model of a mixture of catalysts of the main components, which makes it possible to study any number of markers. Contrasting the longitudinal approach, it
Anastasia A. Grigoreva, Andrei I. Trufanov, Stanislav V. Grigorev   +2 more
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Computational intelligence for disease diagnosis: an approach based on neutrosophic logic [PDF]

Neutrosophic Sets and Systems
Medical diagnosis faces significant challenges due to the inherent uncertainty and ambiguity of clinical data. In this context, this paper proposes a neutrosophic logic-based approach to disease diagnosis, with an emphasis on the detection of chronic ...
Omar Mar Cornelio, Barbara Bron Fonseca
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