Multiple interpretations improve deep learning transparency for prostate lesion detection
Detecting suspicious lesions in MRI imaging is a critical task in preventing deaths from
cancer. Deep learning systems have produced remarkable accuracy for the task of detecting …
cancer. Deep learning systems have produced remarkable accuracy for the task of detecting …
Pediatric spine segmentation and modeling using machine learning
Scoliosis embodies the most frequent three-dimensional spinal deformity in children. Only
timely treatment during the growth of the spine may significantly reduce related health …
timely treatment during the growth of the spine may significantly reduce related health …
Convoluted Neural Network for Detection of Clinically Significant Prostate Cancer on 68 Ga PSMA PET/CT Delayed Imaging by Analyzing Radiomic Features
R Kumar, A Ramachandran, BR Mittal… - Nuclear Medicine and …, 2024 - Springer
Purpose To assess the utility of convoluted neural network (CNN) in differentiating clinically
significant and insignificant prostate cancer in patients with 68 Ga PSMA PET/CT-targeted …
significant and insignificant prostate cancer in patients with 68 Ga PSMA PET/CT-targeted …
[HTML][HTML] 人工智能在前列腺多参数磁共振成像中的应用及展望
邢朋毅， 孟英豪， 阳青松， 陈炜 - 海军军医大学学报, 2022 - html.rhhz.net
前列腺癌(PCa) 是世界上最常见的肿瘤之一. 多参数磁共振成像(mpMRI)
作为一种非侵入性工具, 可以改善前列腺病变的检测, 分类和体积量化. 机器学习是人工智能(AI) …
作为一种非侵入性工具, 可以改善前列腺病变的检测, 分类和体积量化. 机器学习是人工智能(AI) …
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI
A Fernandez-Quilez, O Parvez… - Medical Imaging …, 2022 - spiedigitallibrary.org
Tumor classification in clinically significant (cS, Gleason score≥ 7) or non-clinically
significant (ncS, Gleason score< 7) plays a crucial role in patient management of prostate …
significant (ncS, Gleason score< 7) plays a crucial role in patient management of prostate …
Hydra: Cancer detection leveraging multiple heads and heterogeneous datasets
We propose an approach combining layer freezing and fine-tuning steps alternatively to
train a neural network over multiple and diverse datasets in the context of cancer detection …
train a neural network over multiple and diverse datasets in the context of cancer detection …
Prostate cancer diagnosis with sparse biopsy data and in presence of location uncertainty
Prostate cancer is the second most prevalent cancer in men worldwide. Deep neural
networks have been successfully applied for prostate cancer diagnosis in magnetic …
networks have been successfully applied for prostate cancer diagnosis in magnetic …
[HTML][HTML] Применение искусственного интеллекта в обнаружении и стратификации рака предстательной железы: обзор литературы
АЭ Талышинский, ИГ Камышанская… - Вестник Санкт …, 2023 - cyberleninka.ru
В обзоре литературы проанализированы современные подходы в использовании
искусственного интеллекта для обнаружения и стратификации рака предстательной …
искусственного интеллекта для обнаружения и стратификации рака предстательной …
[图书][B] Enabling the Use of Clinically Generated Datasets to Improve Diagnostic Methods in Multiparametric MRI of the Prostate
KV Sarma - 2021 - search.proquest.com
In this work, we aimed to develop methods and approaches to enable the use of
unannotated or weakly annotated clinically generated datasets in clinical data science and …
unannotated or weakly annotated clinically generated datasets in clinical data science and …
A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification
Bi-parametric MRI (BP-MRI) sequences are today a PI-RADS standard to characterize
clinically significant regions (CSR) without additional contrast parameters. These CSR are …
clinically significant regions (CSR) without additional contrast parameters. These CSR are …