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Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
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Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture

Lee, Bumshik ; Yamanakkanavar, Nagaraj ; Choi, Jae Young Punithakumar, Kumaradevan

PloS one, 2020-08, Vol.15 (8), p.e0236493-e0236493 [Periódico revisado por pares]

United States: Public Library of Science

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2
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
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An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays

Suarez-Arnedo, Alejandra ; Torres Figueroa, Felipe ; Clavijo, Camila ; Arbeláez, Pablo ; Cruz, Juan C ; Muñoz-Camargo, Carolina Chirico, Giuseppe

PloS one, 2020-07, Vol.15 (7), p.e0232565-e0232565 [Periódico revisado por pares]

United States: Public Library of Science

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3
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module
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Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

Jiang, Yun ; Chen, Li ; Zhang, Hai ; Xiao, Xiao Hu, Jianjun

PloS one, 2019-03, Vol.14 (3), p.e0214587-e0214587 [Periódico revisado por pares]

United States: Public Library of Science

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4
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
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High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Cruz-Roa, Angel ; Gilmore, Hannah ; Basavanhally, Ajay ; Feldman, Michael ; Ganesan, Shridar ; Shih, Natalie ; Tomaszewski, John ; Madabhushi, Anant ; González, Fabio Wang, Yuanquan

PloS one, 2018-05, Vol.13 (5), p.e0196828-e0196828 [Periódico revisado por pares]

United States: Public Library of Science

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5
Deep learning approach to peripheral leukocyte recognition
Deep learning approach to peripheral leukocyte recognition
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Deep learning approach to peripheral leukocyte recognition

Wang, Qiwei ; Bi, Shusheng ; Sun, Minglei ; Wang, Yuliang ; Wang, Di ; Yang, Shaobao Zhang, Jie

PloS one, 2019-06, Vol.14 (6), p.e0218808-e0218808 [Periódico revisado por pares]

United States: Public Library of Science

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6
Quantitative imaging with a mobile phone microscope
Quantitative imaging with a mobile phone microscope
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Quantitative imaging with a mobile phone microscope

Skandarajah, Arunan ; Reber, Clay D ; Switz, Neil A ; Fletcher, Daniel A Kabla, Alexandre J.

PloS one, 2014-05, Vol.9 (5), p.e96906-e96906 [Periódico revisado por pares]

United States: Public Library of Science

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7
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
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DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning

Senaras, Caglar ; Niazi, M Khalid Khan ; Lozanski, Gerard ; Gurcan, Metin N Lo, Chung-Ming

PloS one, 2018-10, Vol.13 (10), p.e0205387 [Periódico revisado por pares]

United States: Public Library of Science

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8
Robust Radiomics feature quantification using semiautomatic volumetric segmentation
Robust Radiomics feature quantification using semiautomatic volumetric segmentation
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Robust Radiomics feature quantification using semiautomatic volumetric segmentation

Parmar, Chintan ; Rios Velazquez, Emmanuel ; Leijenaar, Ralph ; Jermoumi, Mohammed ; Carvalho, Sara ; Mak, Raymond H ; Mitra, Sushmita ; Shankar, B Uma ; Kikinis, Ron ; Haibe-Kains, Benjamin ; Lambin, Philippe ; Aerts, Hugo J W L Woloschak, Gayle E.

PloS one, 2014-07, Vol.9 (7), p.e102107-e102107 [Periódico revisado por pares]

United States: Public Library of Science

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9
IHC Profiler: an open source plugin for the quantitative evaluation and automated scoring of immunohistochemistry images of human tissue samples
IHC Profiler: an open source plugin for the quantitative evaluation and automated scoring of immunohistochemistry images of human tissue samples
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IHC Profiler: an open source plugin for the quantitative evaluation and automated scoring of immunohistochemistry images of human tissue samples

Varghese, Frency ; Bukhari, Amirali B ; Malhotra, Renu ; De, Abhijit Aziz, Syed A.

PloS one, 2014-05, Vol.9 (5), p.e96801-e96801 [Periódico revisado por pares]

United States: Public Library of Science

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10
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
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Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition

Correa, Malena ; Zimic, Mirko ; Barrientos, Franklin ; Barrientos, Ronald ; Román-Gonzalez, Avid ; Pajuelo, Mónica J ; Anticona, Cynthia ; Mayta, Holger ; Alva, Alicia ; Solis-Vasquez, Leonardo ; Figueroa, Dante Anibal ; Chavez, Miguel A ; Lavarello, Roberto ; Castañeda, Benjamín ; Paz-Soldán, Valerie A ; Checkley, William ; Gilman, Robert H ; Oberhelman, Richard Puebla, Iratxe

PloS one, 2018-12, Vol.13 (12), p.e0206410-e0206410 [Periódico revisado por pares]

United States: Public Library of Science

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