Advancements in mri-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects
Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …
become increasingly popular due to advances in computer-aided diagnosis tools. These …
What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?
The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …
based on magnetic resonance (MR) images to aid in the management of prostate cancer …
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI
H Khanfari, S Mehranfar, M Cheki… - BMC Medical …, 2023 - Springer
Background The purpose of this study is to investigate the use of radiomics and deep
features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading …
features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading …
Unsupervised analysis based on DCE-MRI radiomics features revealed three novel breast cancer subtypes with distinct clinical outcomes and biological …
Simple Summary Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is
an important approach for the diagnosis and evaluation of breast cancer (BC) in clinical …
an important approach for the diagnosis and evaluation of breast cancer (BC) in clinical …
The use of MRI-derived radiomic models in prostate cancer risk stratification: A critical review of contemporary literature
LM Huynh, Y Hwang, O Taylor, MJ Baine - Diagnostics, 2023 - mdpi.com
The development of precise medical imaging has facilitated the establishment of radiomics,
a computer-based method of quantitatively analyzing subvisual imaging characteristics. The …
a computer-based method of quantitatively analyzing subvisual imaging characteristics. The …
ContraSurv: enhancing prognostic assessment of medical images via data-efficient weakly supervised contrastive learning
Prognostic assessment remains a critical challenge in medical research, often limited by the
lack of well-labeled data. In this work, we introduce ContraSurv, a weakly-supervised …
lack of well-labeled data. In this work, we introduce ContraSurv, a weakly-supervised …
MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer
Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a
conundrum for making a precise diagnosis and choosing an optimal treatment approach …
conundrum for making a precise diagnosis and choosing an optimal treatment approach …
Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram
G Jing, P Xing, Z Li, X Ma, H Lu, C Shao, Y Lu… - Frontiers in …, 2022 - frontiersin.org
Objective To develop and validate a multimodal MRI-based radiomics nomogram for
predicting clinically significant prostate cancer (CS-PCa). Methods Patients who underwent …
predicting clinically significant prostate cancer (CS-PCa). Methods Patients who underwent …
Integration between Novel Imaging Technologies and Modern Radiotherapy Techniques: How the Eye Drove the Chisel
G Francolini, I Morelli, MG Carnevale, R Grassi… - Cancers, 2022 - mdpi.com
Simple Summary This paper aims at showing the impact of novel imaging technologies and
modern radiotherapy techniques on the management of cancer, with a particular focus on …
modern radiotherapy techniques on the management of cancer, with a particular focus on …
[HTML][HTML] 基于多参数MRI 影像组学评估前列腺癌侵袭性
杨静， 黄豆豆， 陈峻帆， 罗银灯， 刘玥希 - 2024 - aammt.tmmu.edu.cn
目的探讨多参数MRI 上不同感兴趣区的影像组学模型和结合影像组学, PI-RADS 2.1 评分,
临床变量的综合模型在评估前列腺癌侵袭性方面的价值. 方法收集本院2018 年5 月至2022 年9 …
临床变量的综合模型在评估前列腺癌侵袭性方面的价值. 方法收集本院2018 年5 月至2022 年9 …