Cargando…

Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks

The accuracy in diagnosing prostate cancer (PCa) has increased with the development of multiparametric magnetic resonance imaging (mpMRI). Biparametric magnetic resonance imaging (bpMRI) was found to have a diagnostic accuracy comparable to mpMRI in detecting PCa. However, prostate MRI assessment re...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lai, Chih-Ching, Wang, Hsin-Kai, Wang, Fu-Nien, Peng, Yu-Ching, Lin, Tzu-Ping, Peng, Hsu-Hsia, Shen, Shu-Huei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070192/ https://www.ncbi.nlm.nih.gov/pubmed/33921451 http://dx.doi.org/10.3390/s21082709

Ejemplares similares

Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy
por: Byun, Hwa Kyung, et al.
Publicado: (2021)

Assessment of the Diagnostic Accuracy of Biparametric Magnetic Resonance Imaging for Prostate Cancer in Biopsy-Naive Men: The Biparametric MRI for Detection of Prostate Cancer (BIDOC) Study
por: Boesen, Lars, et al.
Publicado: (2018)

Short review of biparametric prostate MRI
por: Steinkohl, Fabian, et al.
Publicado: (2018)

Autosegmentation of the rectum on megavoltage image guidance scans
por: Shelley, L E A, et al.
Publicado: (2019)

An attention base U-net for parotid tumor autosegmentation
por: Xia, Xianwu, et al.
Publicado: (2022)

Histogram analysis of prostate cancer on dynamic contrast-enhanced magnetic resonance imaging: A preliminary study emphasizing on zonal difference
por: Lai, Chih-Ching, et al.
Publicado: (2019)

Biparametric Quantitative MRI for Prostate Cancer Detection
por: Uyanik, Meltem, et al.
Publicado: (2023)

Biparametric versus multiparametric MRI in the diagnosis of prostate cancer
por: Thestrup, Karen Cecilie Duus, et al.
Publicado: (2016)

Comparison of biparametric and multiparametric MRI in the diagnosis of prostate cancer
por: Xu, Lili, et al.
Publicado: (2019)

The suitability of common metrics for assessing parotid and larynx autosegmentation accuracy
por: Beasley, William J., et al.
Publicado: (2016)

Single-center versus multi-center biparametric MRI radiomics approach for clinically significant peripheral zone prostate cancer
por: Bleker, Jeroen, et al.
Publicado: (2021)

Detection of intermediate- and high-risk prostate cancer with biparametric magnetic resonance imaging: a systematic review and meta-analysis
por: Wang, Yajing, et al.
Publicado: (2023)

Comparison of Biparametric and Multiparametric Prostate Magnetic Resonance Imaging in Predicting Oncologic Outcomes After Radical Prostatectomy
por: EFILOGLU, Ozgur, et al.
Publicado: (2022)

A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
por: Bleker, Jeroen, et al.
Publicado: (2022)

Stress-testing pelvic autosegmentation algorithms using anatomical edge cases
por: Kanwar, Aasheesh, et al.
Publicado: (2023)

One-Day Prostate Cancer Diagnosis: Biparametric Magnetic Resonance Imaging and Digital Pathology by Fluorescence Confocal Microscopy
por: Falagario, Ugo Giovanni, et al.
Publicado: (2022)

Prostate Imaging for Local Recurrence Reporting and Data System using Biparametric Magnetic Resonance Imaging: A Proposal
por: Scialpi, Michele, et al.
Publicado: (2023)

Clinical application and improvement of a CNN‐based autosegmentation model for clinical target volumes in cervical cancer radiotherapy
por: Chang, Yankui, et al.
Publicado: (2021)

Current Status of Biparametric MRI in Prostate Cancer Diagnosis: Literature Analysis
por: Belue, Mason James, et al.
Publicado: (2022)

AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study
por: Roest, C., et al.
Publicado: (2022)

Could Biparametric MRI Replace Multiparametric MRI in the Management of Prostate Cancer?
por: Iacob, Roxana, et al.
Publicado: (2023)

Autosegmentation of cardiac substructures in respiratory-gated, non-contrasted computed tomography images
por: Farrugia, Mark, et al.
Publicado: (2021)

Biparametric versus multiparametric magnetic resonance imaging of the prostate: detection of clinically significant cancer in a perfect match group
por: Cho, Jungheum, et al.
Publicado: (2020)

A nomogram based on biparametric magnetic resonance imaging for detection of clinically significant prostate cancer in biopsy-naïve patients
por: Hu, Beibei, et al.
Publicado: (2023)

Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review
por: Michaely, Henrik J., et al.
Publicado: (2022)

Added Value of Biparametric MRI and TRUS-Guided Systematic Biopsies to Clinical Parameters in Predicting Adverse Pathology in Prostate Cancer
por: Liu, Hailang, et al.
Publicado: (2020)

Cancer Detection Rates of Systematic and Targeted Prostate Biopsies after Biparametric MRI
por: Gayet, Maudy C. W., et al.
Publicado: (2020)

Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature
por: Zhang, Li, et al.
Publicado: (2021)

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI
por: Bosma, Joeran S., et al.
Publicado: (2023)

Autosegmentation based on different-sized training datasets of consistently-curated volumes and impact on rectal contours in prostate cancer radiation therapy
por: Elisabeth Olsson, Caroline, et al.
Publicado: (2022)

Modified Predictive Model and Nomogram by Incorporating Prebiopsy Biparametric Magnetic Resonance Imaging With Clinical Indicators for Prostate Biopsy Decision Making
por: Pan, Jin-feng, et al.
Publicado: (2021)

Transfer Learning-Based Autosegmentation of Primary Tumor Volumes of Glioblastomas Using Preoperative MRI for Radiotherapy Treatment
por: Tian, Suqing, et al.
Publicado: (2022)

Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI
por: Hötker, Andreas M., et al.
Publicado: (2021)

Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac
por: Wang, Huadong, et al.
Publicado: (2023)

Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer
por: Tryggestad, E., et al.
Publicado: (2022)

Predictors of upgrading from low-grade cancer at prostatectomy in men with biparametric magnetic resonance imaging
por: Christiansen, Ola, et al.
Publicado: (2022)

Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer
por: Tong, Pengfei, et al.
Publicado: (2023)

A scoring diagnostic system based on biparametric ultrasound features for prostate cancer risk assessment
por: Liu, Xiu, et al.
Publicado: (2023)

Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers
por: Cipollari, Stefano, et al.
Publicado: (2022)

Head-to-head comparison of biparametric versus multiparametric MRI of the prostate before robot-assisted transperineal fusion prostate biopsy
por: Thaiss, Wolfgang M., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_b72kv15eh2cdop12qfj8o6bgjn