Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1861-6429

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images ; volume:13 ; number:12 ; day:9 ; month:8 ; year:2018 ; pages:1895-1903 ; date:12.2018
International journal of computer assisted radiology and surgery ; 13, Heft 12 (9.8.2018), 1895-1903, 12.2018

Creator: Byra, Michał
Styczynski, Grzegorz
Szmigielski, Cezary
Kalinowski, Piotr
Michałowski, Łukasz
Paluszkiewicz, Rafał
Ziarkiewicz-Wróblewska, Bogna
Zieniewicz, Krzysztof
Sobieraj, Piotr
Nowicki, Andrzej

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11548-018-1843-2

URN: urn:nbn:de:101:1-2018122700275618591227

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Byra, Michał
Styczynski, Grzegorz
Szmigielski, Cezary
Kalinowski, Piotr
Michałowski, Łukasz
Paluszkiewicz, Rafał
Ziarkiewicz-Wróblewska, Bogna
Zieniewicz, Krzysztof
Sobieraj, Piotr
Nowicki, Andrzej
SpringerLink (Online service)

Other Objects (12)

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

$Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content$

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Hochschulschrift

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

$Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease$

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

$Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content$

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Hochschulschrift

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

$Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease$

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

$Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content$

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Hochschulschrift

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

$Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease$

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Boundary-aware convolutional attention network for liver segmentation in ultrasound images

Simulating federated learning for steatosis detection using ultrasound images

Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens)

Human liver organoid: modeling liver steatosis and beyond

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

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

Convolutional networks to relate images

Quantitative ultrasound techniques and biochemical markers to assess liver steatosis and fibrosis in newly diagnosed acromegaly

NOX2-generated oxidative stress is associated with severity of ultrasound liver steatosis in patients with non-alcoholic fatty liver disease

Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network

Liver-specific Repin1 deficiency impairs transient hepatic steatosis in liver regeneration

Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease

Related objects

Reset password