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1
Methods on Skull Stripping of MRI Head Scan Images—a Review
Methods on Skull Stripping of MRI Head Scan Images—a Review
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Methods on Skull Stripping of MRI Head Scan Images—a Review

Kalavathi, P. ; Prasath, V. B. Surya

Journal of Digital Imaging, 2016-06, Vol.29 (3), p.365-379 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Computer technique for digital radiographic images correction based on the characteristic curve
Computer technique for digital radiographic images correction based on the characteristic curve
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Computer technique for digital radiographic images correction based on the characteristic curve

Maurício Cunha Escarpinati Marcelo Andrade Costa Vieira; Homero Schiabel; Symposium for Computer Applications in Radiology (19. 2002 Cleveland, Ohio)

Journal of Digital Imaging Philadelphia v. 15, suppl. 1, p. 228-230, 2002

Philadelphia 2002

Item não circula. Consulte sua biblioteca.(Acessar)

3
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Hesamian, Mohammad Hesam ; Jia, Wenjing ; He, Xiangjian ; Kennedy, Paul

Journal of digital imaging, 2019-08, Vol.32 (4), p.582-596 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Medical Image File Formats
Medical Image File Formats
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Medical Image File Formats

Larobina, Michele ; Murino, Loredana

Journal of digital imaging, 2014-04, Vol.27 (2), p.200-206 [Periódico revisado por pares]

Boston: Springer US

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5
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight
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Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

Sharma, Shallu ; Mehra, Rajesh

Journal of digital imaging, 2020-06, Vol.33 (3), p.632-654 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
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Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

Alom, Md Zahangir ; Yakopcic, Chris ; Nasrin, Mst. Shamima ; Taha, Tarek M. ; Asari, Vijayan K.

Journal of digital imaging, 2019-08, Vol.32 (4), p.605-617 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study
Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study
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Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study

Kaplan, Sydney ; Zhu, Yang-Ming

Journal of digital imaging, 2019-10, Vol.32 (5), p.773-778 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

Chi, Jianning ; Walia, Ekta ; Babyn, Paul ; Wang, Jimmy ; Groot, Gary ; Eramian, Mark

Journal of digital imaging, 2017-08, Vol.30 (4), p.477-486 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
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Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session

Kohli, Marc D. ; Summers, Ronald M. ; Geis, J. Raymond

Journal of digital imaging, 2017-08, Vol.30 (4), p.392-399 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images
Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images
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Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

Cheng, Phillip M. ; Malhi, Harshawn S.

Journal of digital imaging, 2017-04, Vol.30 (2), p.234-243 [Periódico revisado por pares]

Cham: Springer International Publishing

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Deste Autor:

  1. Schiabel, H
  2. Nunes, F
  3. Escarpinati, M
  4. Góes, C
  5. Ayres, F

Neste Assunto:

  1. Life Sciences & Biomedicine
  2. Science & Technology
  3. Radiology, Nuclear Medicine & Medical Imaging
  4. Humans
  5. Radiology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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