Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

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Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Identifying tumor in pancreati ...... mages using transfer learning.

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Identifying tumor in pancreati ...... mages using transfer learning.

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label

Identifying tumor in pancreati ...... mages using transfer learning.

@en

Identifying tumor in pancreati ...... mages using transfer learning.

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Identifying tumor in pancreati ...... mages using transfer learning.

@en

Identifying tumor in pancreati ...... mages using transfer learning.

@nl

P1476

Identifying tumor in pancreati ...... images using transfer learning

@en

P2093

Douglas J Hartman

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Liron Pantanowitz

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Metin N Gurcan

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Thomas Erol Tavolara

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Vidya Arole

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P2860

Deep learning

The Ki-67 protein: from the known and the unknown

Expanding the multicolor capabilities of basic confocal microscopes by employing red and near-infrared quantum dot conjugates.

Pitfalls of supervised feature selection.

Deep learning in neural networks: an overview

Quantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer.

Cell-Cycle Regulation Accounts for Variability in Ki-67 Expression Levels.

Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement

Tumour biology and histopathology of neuroendocrine tumours.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

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e0195621

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scholarly article

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10.1371/JOURNAL.PONE.0195621

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English

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Muhammad Khalid Khan Niazi

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2018-04-12T00:00:00Z

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29649302

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P921

inductive transfer

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5896941

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