An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.

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An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.

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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年學術文章

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2018年學術文章

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An improved deep learning appr ...... y cancer in ultrasound images.

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An improved deep learning appr ...... y cancer in ultrasound images.

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label

An improved deep learning appr ...... y cancer in ultrasound images.

@en

An improved deep learning appr ...... y cancer in ultrasound images.

@nl

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An improved deep learning appr ...... y cancer in ultrasound images.

@en

An improved deep learning appr ...... y cancer in ultrasound images.

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P1476

An improved deep learning appr ...... y cancer in ultrasound images.

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P2093

Jiajie Zhang

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Jian Weng

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Wanrong Gu

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Weiwei Liu

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Yijun Mao

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Yonghua Wang

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Yujian Shi

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P2860

Deep learning

Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.

SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors.

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis.

Trends in the presentation, treatment, and survival of patients with medullary thyroid cancer over the past 30 years

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Comparison of multiresolution features for texture classification of carotid atherosclerosis from B-mode ultrasound.

Augmenting detection of prostate cancer in transrectal ultrasound images using SVM and RF time series.

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scholarly article

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10.1038/S41598-018-25005-7

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English

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Hailiang Li

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2018-04-26T00:00:00Z

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29700427

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P921

deep learning

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5920067

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