Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …
guided prostate interventions. However, the segmentation task is challenging due to …
Robust non-rigid registration through agent-based action learning
Robust image registration in medical imaging is essential for comparison or fusion of
images, acquired from various perspectives, modalities or at different times. Typically, an …
images, acquired from various perspectives, modalities or at different times. Typically, an …
Computer-aided diagnosis of prostate cancer with MRI
B Fei - Current opinion in biomedical engineering, 2017 - Elsevier
Multi-parametric magnetic resonance imaging (mp-MRI) has an increasingly important role
in the diagnosis of prostate cancer. Due to the large amount of data and variations in mp …
in the diagnosis of prostate cancer. Due to the large amount of data and variations in mp …
Segmentation of prostate and prostate zones using deep learning: A multi-MRI vendor analysis
Purpose Develop a deep-learning-based segmentation algorithm for prostate and its
peripheral zone (PZ) that is reliable across multiple MRI vendors. Methods This is a …
peripheral zone (PZ) that is reliable across multiple MRI vendors. Methods This is a …
Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
KV Sjöstrand, JFA Richter, KEM Johnsson… - US Patent …, 2021 - Google Patents
First worldwide family litigation filed litigation https://patents. darts-ip. com/? family=
67140292&utm_source= google_patent&utm_medium= platform_link&utm_campaign …
67140292&utm_source= google_patent&utm_medium= platform_link&utm_campaign …
Radiomics: a new biomedical workflow to create a predictive model
Abstract 'Radiomics' is utilized to improve the prediction of patient overall survival and/or
outcome. Target segmentation, feature extraction, feature selection, and classification model …
outcome. Target segmentation, feature extraction, feature selection, and classification model …
A supervoxel‐based segmentation method for prostate MR images
Purpose Segmentation of the prostate on MR images has many applications in prostate
cancer management. In this work, we propose a supervoxel‐based segmentation method for …
cancer management. In this work, we propose a supervoxel‐based segmentation method for …
Systems and methods for platform agnostic whole body image segmentation
JFA Richter, KEM Johnsson, EK Gjertsson… - US Patent …, 2023 - Google Patents
A61B6/5229—Devices using data or image processing specially adapted for radiation
diagnosis involving processing of medical diagnostic data combining image data of a …
diagnosis involving processing of medical diagnostic data combining image data of a …
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans
GLF da Silva, PS Diniz, JL Ferreira, JVF Franca… - Medical & Biological …, 2020 - Springer
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …
Network for medical image analysis, decision support system, and related graphical user interface (GUI) applications
MR Baker - US Patent 10,340,046, 2019 - Google Patents
Described herein is a platform and supported graphical user interface (GUI) decision-
making tools for use by medical practitioners and/or their patients, eg, to aide in the process …
making tools for use by medical practitioners and/or their patients, eg, to aide in the process …