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Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
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Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Greenspan, Hayit ; van Ginneken, Bram ; Summers, Ronald M.

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1153-1159

IEEE

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2
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
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BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

Toğaçar, Mesut ; Özkurt, Kutsal Baran ; Ergen, Burhan ; Cömert, Zafer

Physica A, 2020-05, Vol.545, p.123592, Article 123592 [Periódico revisado por pares]

Elsevier B.V

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A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models
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A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models

Toğaçar, M. ; Ergen, B. ; Cömert, Z. ; Özyurt, F.

Ingénierie et recherche biomédicale, 2020-08, Vol.41 (4), p.212-222 [Periódico revisado por pares]

Elsevier Masson SAS

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4
Multiple instance learning for histopathological breast cancer image classification
Multiple instance learning for histopathological breast cancer image classification
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Multiple instance learning for histopathological breast cancer image classification

Sudharshan, P.J. ; Petitjean, Caroline ; Spanhol, Fabio ; Oliveira, Luiz Eduardo ; Heutte, Laurent ; Honeine, Paul

Expert systems with applications, 2019-03, Vol.117, p.103-111 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods
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Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods

Toğaçar, Mesut ; Ergen, Burhan ; Cömert, Zafer

Applied soft computing, 2020-12, Vol.97, p.106810, Article 106810 [Periódico revisado por pares]

Elsevier B.V

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6
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
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Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks

Toğaçar, Mesut ; Ergen, Burhan ; Cömert, Zafer

Biocybernetics and biomedical engineering, 2020-01, Vol.40 (1), p.23-39 [Periódico revisado por pares]

Elsevier B.V

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7
Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
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Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

Colomer, Adrián ; Igual, Jorge ; Naranjo, Valery

Sensors (Basel, Switzerland), 2020-02, Vol.20 (4), p.1005 [Periódico revisado por pares]

Switzerland: MDPI

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8
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
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Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Hoo-Chang Shin ; Orton, M. R. ; Collins, D. J. ; Doran, S. J. ; Leach, M. O.

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1930-1943 [Periódico revisado por pares]

United States: IEEE

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9
Robot-Assisted Medical Imaging: A Review
Robot-Assisted Medical Imaging: A Review
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Robot-Assisted Medical Imaging: A Review

Salcudean, Septimiu E. ; Moradi, Hamid ; Black, David G. ; Navab, Nassir

Proceedings of the IEEE, 2022-07, Vol.110 (7), p.951-967 [Periódico revisado por pares]

New York: IEEE

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10
Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning
Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning
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Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning

Capizzi, Giacomo ; Sciuto, Grazia Lo ; Napoli, Christian ; Polap, Dawid ; Wozniak, Marcin

IEEE transactions on fuzzy systems, 2020-06, Vol.28 (6), p.1178-1189 [Periódico revisado por pares]

IEEE

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