Evolutionary computation in medicine: an overview

[1]  Moshe Sipper,et al.  A fuzzy-genetic approach to breast cancer diagnosis , 1999, Artif. Intell. Medicine.

[2]  M. Vose The Simple Genetic Algorithm , 1999 .

[3]  Riccardo Poli,et al.  Evolutionary computation teaching at Birmingham , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[4]  Thomas Roß,et al.  Feature selection for optimized skin tumor recognition using genetic algorithms , 1999, Artif. Intell. Medicine.

[5]  Y H Chang,et al.  Feature selection for computerized mass detection in digitized mammograms by using a genetic algorithm. , 1999, Academic radiology.

[6]  A. Marchevsky,et al.  Estimation of tumor stage and lymph node status in patients with colorectal adenocarcinoma using probabilistic neural networks and logistic regression. , 1999, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.

[7]  Kwong-Sak Leung,et al.  Medical Data Mining Using Evolutionary Computation , 2022 .

[8]  L. Clarke,et al.  Feature Extraction for MRI Segmentation , 1999, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[9]  Konstantina S. Nikita,et al.  Automatic retinal image registration scheme using global optimization techniques , 1999, IEEE Transactions on Information Technology in Biomedicine.

[10]  P. Okunieff,et al.  Automated treatment planning engine for prostate seed implant brachytherapy. , 1999, International journal of radiation oncology, biology, physics.

[11]  H. Y. Chen,et al.  Prediction of tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients. , 1999, Therapeutic drug monitoring.

[12]  T Wanschura,et al.  Automatic realignment of time-separated MR images by genetic algorithm. , 1999, Magnetic resonance imaging.

[13]  John G. Hughes,et al.  An evaluation of intelligent prognostic systems for colorectal cancer , 1999, Artif. Intell. Medicine.

[14]  Jonathan E. Rowe,et al.  An evolutionary approach to constructing prognostic models , 1999, Artif. Intell. Medicine.

[15]  A. Abu-Hanna,et al.  Prognostic methods in medicine. , 1999, Artificial intelligence in medicine.

[16]  Y T Chen,et al.  Improving cephalogram analysis through feature subimage extraction. , 1999, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[17]  X. Yao Evolving Artificial Neural Networks , 1999 .

[18]  L E Reinstein,et al.  A new genetic algorithm technique in optimization of permanent 125I prostate implants. , 1998, Medical physics.

[19]  David B. Fogel,et al.  Evolving artificial neural networks for screening features from mammograms , 1998, Artif. Intell. Medicine.

[20]  N. Petrick,et al.  Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. , 1998, Medical physics.

[21]  N. Petrick,et al.  Design of a high-sensitivity classifier based on a genetic algorithm: application to computer-aided diagnosis. , 1998, Physics in medicine and biology.

[22]  Peter J. F. Lucas,et al.  Analysis of Notions of Diagnosis , 1998, Artif. Intell..

[23]  K Doi,et al.  A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. , 1998, Medical physics.

[24]  J Mazumdar,et al.  Application of fuzzy-classifier system to coronary artery disease and breast cancer. , 1998, Australasian physical & engineering sciences in medicine.

[25]  Pedro Larrañaga,et al.  Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches , 1998, Artif. Intell. Medicine.

[26]  K. Burnham,et al.  Optimization of beam orientation in radiotherapy using planar geometry. , 1998, Physics in medicine and biology.

[27]  Mark A. Stephenson,et al.  Artificial neural networks and logistic regression as tools for prediction of survival in patients with Stages I and II non-small cell lung cancer. , 1998, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.

[28]  M F Jefferson,et al.  Evolution of Artificial Neural Network Architecture: Prediction of Depression after Mania , 1998, Methods of Information in Medicine.

[29]  David B. Fogel,et al.  Evolutionary Computation: The Fossil Record , 1998 .

[30]  I Martínez-Pérez,et al.  Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies , 1998, NMR in biomedicine.

[31]  R. Salmelin,et al.  Global optimization in the localization of neuromagnetic sources , 1998, IEEE Transactions on Biomedical Engineering.

[32]  Essam A. El-Kwae,et al.  Edge detection in medical images using a genetic algorithm , 1998, IEEE Transactions on Medical Imaging.

[33]  R L Somorjai,et al.  Near‐optimal region selection for feature space reduction: novel preprocessing methods for classifying MR spectra , 1998, NMR in biomedicine.

[34]  Reto Meuli,et al.  Robust parameter estimation of intensity distributions for brain magnetic resonance images , 1998, IEEE Transactions on Medical Imaging.

[35]  M Juhola,et al.  A genetic-based machine learning system to discover the diagnostic rules for female urinary incontinence. , 1998, Computer methods and programs in biomedicine.

[36]  Vidroha Debroy,et al.  Genetic Programming , 1998, Lecture Notes in Computer Science.

[37]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[38]  W. Herrmann,et al.  On the use of neural network techniques to analyze sleep EEG data. Third communication: robustification of the classificator by applying an algorithm obtained from 9 different networks. , 1998, Neuropsychobiology.

[39]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[40]  David B. Fogel,et al.  An Introduction to Evolutionary Computation , 2022 .

[41]  W. Herrmann,et al.  On the Use of Neural Network Techniques to Analyze Sleep EEG Data , 1997, Neuropsychobiology.

[42]  Y. Yu,et al.  Decision theoretic steering and genetic algorithm optimization: application to stereotactic radiosurgery treatment planning. , 1997, Medical physics.

[43]  Y. Yu,et al.  Multiobjective decision theory for computational optimization in radiation therapy. , 1997, Medical physics.

[44]  S. Mitra,et al.  Iterative function system and genetic algorithm-based EEG compression. , 1997, Medical engineering & physics.

[45]  Kostas Delibasis,et al.  Designing Fourier Descriptor-Based Geometric Models for Object Interpretation in Medical Images Using Genetic Algorithms , 1997, Comput. Vis. Image Underst..

[46]  Xin Yao,et al.  A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.

[47]  M F Jefferson,et al.  Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma , 1997, Cancer.

[48]  Thomas Bäck,et al.  Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..

[49]  Kostas Delibasis,et al.  Designing texture filters with genetic algorithms: An application to medical images , 1997, Signal Process..

[50]  R Baumgart-Schmitt,et al.  On the use of neural network techniques to analyse sleep EEG data. First communication: application of evolutionary and genetic algorithms to reduce the feature space and to develop classification rules. , 1997, Neuropsychobiology.

[51]  N. Kumaravel,et al.  Equivalent tree representation of electrocardiogram using genetic algorithm. , 1997, Biomedical sciences instrumentation.

[52]  Peter Nordin,et al.  Evolutionary program induction of binary machine code and its applications , 1997 .

[53]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..

[54]  D. Heiss-Czedik An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[55]  Y Yu,et al.  A genetic algorithm for the optimization of prostate implants. , 1996, Medical physics.

[56]  H P Chan,et al.  Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue. , 1996, Medical physics.

[57]  G. G. Cameron,et al.  Genetic algorithm implementation of stack filter design for image restoration , 1996 .

[58]  R. Lane,et al.  A generic genetic algorithm for generating beam weights. , 1996, Medical physics.

[59]  Atam P. Dhawan,et al.  Analysis of mammographic microcalcifications using gray-level image structure features , 1996, IEEE Trans. Medical Imaging.

[60]  Zbigniew Michalewicz,et al.  Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .

[61]  R. Dybowski,et al.  Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm , 1996, The Lancet.

[62]  G A Ezzell,et al.  Genetic and geometric optimization of three-dimensional radiation therapy treatment planning. , 1996, Medical physics.

[63]  Constantinos S. Pattichis,et al.  Genetics-based machine learning for the assessment of certain neuromuscular disorders , 1996, IEEE Trans. Neural Networks.

[64]  Y Chen,et al.  A genetic algorithm approach to optimization for the radiological worker allocation problem. , 1996, Health physics.

[65]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[66]  Milan Sonka,et al.  Knowledge-based interpretation of MR brain images , 1996, IEEE Trans. Medical Imaging.

[67]  Volker Claus,et al.  Evolutionary Algorithms and their Application , 1996 .

[68]  R. Poli,et al.  Genetic design of optimum linear and nonlinear QRS detectors , 1995, IEEE Transactions on Biomedical Engineering.

[69]  Francisco Herrera,et al.  GENERATING FUZZY RULES FROM EXAMPLES USING GENETIC ALGORITHMS , 1995 .

[70]  David B. Fogel,et al.  Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .

[71]  H. Gross,et al.  Model study detecting breast cancer cells in peripheral blood mononuclear cells at frequencies as low as 10(-7). , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[72]  Bernadette Bouchon-Meunier,et al.  Fuzzy Logic And Soft Computing , 1995 .

[73]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[74]  David B. Fogel,et al.  Evolutionary computation - toward a new philosophy of machine intelligence (3. ed.) , 1995 .

[75]  Michael A. Arbib,et al.  The handbook of brain theory and neural networks , 1995, A Bradford book.

[76]  David J. Spiegelhalter,et al.  Machine Learning, Neural and Statistical Classification , 2009 .

[77]  Ronald R. Yager,et al.  Fuzzy sets, neural networks, and soft computing , 1994 .

[78]  C J Taylor,et al.  Medical image interpretation: a generic approach using deformable templates. , 1994, Medical informatics = Medecine et informatique.

[79]  Larry R. Medsker,et al.  Hybrid Neural Network and Expert Systems , 1994, Springer US.

[80]  Ludmila I. Kuncheva,et al.  Genetic Algorithm for Feature Selection for Parallel Classifiers , 1993, Inf. Process. Lett..

[81]  L Kuncheva,et al.  DREAM: a shell-like software system for medical data analysis and decision support. , 1993, Computer methods and programs in biomedicine.

[82]  M. Narayanan,et al.  A Genetic Algorithm to Improve a Neural Network to Predict a Patient’s Response to Warfarin , 1993, Methods of Information in Medicine.

[83]  Abraham Kandel,et al.  Hybrid Architectures for Intelligent Systems , 1992 .

[84]  Larry R. Medsker,et al.  Models and Guidelines for Integrating Expert Systems and Neural Networks , 1992 .

[85]  B. Clark,et al.  Crossmatch prediction of highly sensitized patients. , 1992, Clinical transplants.

[86]  Clarkson Bd,et al.  Crossmatch prediction of highly sensitized patients. , 1992 .

[87]  G. Coppa,et al.  Prediction of Outcome in Critically Ill Patients , 1992 .

[88]  Alexandre Parodi,et al.  An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains , 1991, ICGA.

[89]  John R. Koza,et al.  Genetically breeding populations of computer programs to solve problems in artificial intelligence , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

[90]  John R. Koza,et al.  Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems , 1990 .

[91]  Riva Wenig Bickel,et al.  Determination of near-optimum use of hospital diagnostic resources using the "GENES" genetic algorithm shell. , 1990, Computers in biology and medicine.

[92]  T.K. Peters,et al.  The evolution strategy-a search strategy used in individual optimization of electrical parameters for therapeutic carotid sinus nerve stimulation , 1989, IEEE Transactions on Biomedical Engineering.

[93]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[94]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[95]  Riva Wenig Bickel,et al.  Tree Structured Rules in Genetic Algorithms , 1987, ICGA.

[96]  John J. Grefenstette,et al.  Genetic Search with Approximate Function Evaluation , 1985, ICGA.

[97]  W. Vent,et al.  Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .

[98]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[99]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .

[100]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[101]  John H. Holland,et al.  Outline for a Logical Theory of Adaptive Systems , 1962, JACM.

[102]  J. S. Hunter,et al.  Condensed Calculations for Evolutionary Operation Programs , 1959 .

[103]  Richard M. Friedberg,et al.  A Learning Machine: Part I , 1958, IBM J. Res. Dev..

[104]  George E. P. Box,et al.  Evolutionary Operation: a Method for Increasing Industrial Productivity , 1957 .