Lesion Size Quantification in SPECT Using an Artificial Neural Network Classification Approach

Lesion Size ◽

Classification Approach ◽

Hybrid gray wolf optimizer–artificial neural network classification approach for magnetic resonance brain images

Applied Optics ◽

10.1364/ao.57.000b25 ◽

2017 ◽

Vol 57 (7) ◽

pp. B25 ◽

Cited By ~ 10

Author(s):

Heba M. Ahmed ◽

Bayumy A. B. Youssef ◽

Ahmed S. Elkorany ◽

Adel A. Saleeb ◽

Fathi Abd El-Samie

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Gray Wolf ◽

Brain Images ◽

Classification Approach ◽

Gray Wolf Optimizer ◽

An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy

Journal of Medical Systems ◽

10.1007/s10916-009-9410-6 ◽

2010 ◽

Vol 35 (6) ◽

pp. 1333-1341 ◽

Cited By ~ 2

Author(s):

Hakan Işik ◽

Sema Arslan

Keyword(s):

Neural Network ◽

Classification Approach ◽

LC–MS/MS Software for Screening Unknown Erectile Dysfunction Drugs and Analogues: Artificial Neural Network Classification, Peak-Count Scoring, Simple Similarity Search, and Hybrid Similarity Search Algorithms

Analytical Chemistry ◽

10.1021/acs.analchem.9b01643 ◽

2019 ◽

Vol 91 (14) ◽

pp. 9119-9128 ◽

Cited By ~ 5

Author(s):

Inae Jang ◽

Jae-ung Lee ◽

Jung-min Lee ◽

Beom Hee Kim ◽

Bongjin Moon ◽

...

Keyword(s):

Neural Network ◽

Erectile Dysfunction ◽

Similarity Search ◽

Search Algorithms ◽

Artificial Neural ◽

Peak Count

Exploratory Testing of an Artificial Neural Network Classification for Enhancement of the Social Vulnerability Index

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi4041774 ◽

2015 ◽

Vol 4 (4) ◽

pp. 1774-1790 ◽

Cited By ~ 6

Author(s):

Ryan Hile ◽

Thomas Cova

Keyword(s):

Neural Network ◽

Social Vulnerability ◽

Vulnerability Index ◽

Social Vulnerability Index ◽

Exploratory Testing ◽

The Social ◽

Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification οf Fluorescence Landscape Data

Acta Physica Polonica A ◽

10.12693/aphyspola.116.690 ◽

2009 ◽

Vol 116 (4) ◽

pp. 690-692 ◽

Cited By ~ 3

Author(s):

T. Dramićanin ◽

I. Zeković ◽

B. Dimitrijević ◽

S. Ribar ◽

M.D, Dramićanin

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Optical Biopsy ◽

Artificial Neural ◽

Biopsy Method

Emerging Technologies in Data Mining and Information Security - Lecture Notes in Networks and Systems ◽

Epileptic Seizure Severity Analysis Using Artificial Neural Network and CANFIS Classification Approach

10.1007/978-981-15-9774-9_53 ◽

2021 ◽

pp. 571-580

Author(s):

M. K. Mariam Bee ◽

K. Vidhya

Keyword(s):

Neural Network ◽

Epileptic Seizure ◽

Classification Approach ◽

Seizure Severity ◽

Simple and Computationally Efficient Movement Classification Approach for EMG-controlled Prosthetic Hand: ANFIS vs. Artificial Neural Network

Intelligent Automation & Soft Computing ◽

10.1080/10798587.2015.1008735 ◽

2015 ◽

Vol 21 (4) ◽

pp. 559-573 ◽

Cited By ~ 8

Author(s):

Hessam Jahani Fariman ◽

Siti A. Ahmad ◽

M. Hamiruce Marhaban ◽

M. Ali Jan Ghasab ◽

Paul H. Chappell

Keyword(s):

Neural Network ◽

Prosthetic Hand ◽

Computationally Efficient ◽

Classification Approach ◽

Artificial Neural ◽

Movement Classification

Pre-optimization of radiotherapy treatment planning: an artificial neural network classification aided technique

Physics in Medicine and Biology ◽

10.1088/0031-9155/44/6/306 ◽

1999 ◽

Vol 44 (6) ◽

pp. 1513-1528 ◽

Cited By ~ 14

Author(s):

M E Hosseini-Ashrafi ◽

H Bagherebadian ◽

E Yahaqi

Keyword(s):

Neural Network ◽

Treatment Planning ◽

Radiotherapy Treatment Planning ◽

Artificial Neural ◽

Radiotherapy Treatment

Logistic regression and artificial neural network classification models: a methodology review

Journal of Biomedical Informatics ◽

10.1016/s1532-0464(03)00034-0 ◽

2002 ◽

Vol 35 (5-6) ◽

pp. 352-359 ◽

Cited By ~ 708

Author(s):

Stephan Dreiseitl ◽

Lucila Ohno-Machado

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Classification Models ◽

K-means clustering analysis and artificial neural network classification of fatigue strain signals

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-016-0559-x ◽

2016 ◽

Vol 39 (3) ◽

pp. 757-764 ◽

Cited By ~ 5

Author(s):

M. F. M. Yunoh ◽

S. Abdullah ◽

M. H. M. Saad ◽

Z. M. Nopiah ◽

M. Z. Nuawi

Keyword(s):

Neural Network ◽

Clustering Analysis ◽