Artificial intelligence in cancer imaging: clinical challenges and applications
Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …
data with nuanced decision making. Cancer offers a unique context for medical decisions …
Multiparametric MRI for prostate cancer diagnosis: current status and future directions
The current diagnostic pathway for prostate cancer has resulted in overdiagnosis and
consequent overtreatment as well as underdiagnosis and missed diagnoses in many men …
consequent overtreatment as well as underdiagnosis and missed diagnoses in many men …
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Prostate cancer is the most common malignant tumors in men but prostate Magnetic
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
D Fehr, H Veeraraghavan, A Wibmer… - Proceedings of the …, 2015 - National Acad Sciences
Noninvasive, radiological image-based detection and stratification of Gleason patterns can
impact clinical outcomes, treatment selection, and the determination of disease status at …
impact clinical outcomes, treatment selection, and the determination of disease status at …
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different …
A Wibmer, H Hricak, T Gondo, K Matsumoto… - European …, 2015 - Springer
Abstract Objectives To investigate Haralick texture analysis of prostate MRI for cancer
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …
Computer-aided detection of prostate cancer in MRI
G Litjens, O Debats, J Barentsz… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Prostate cancer is one of the major causes of cancer death for men in the western world.
Magnetic resonance imaging (MRI) is being increasingly used as a modality to detect …
Magnetic resonance imaging (MRI) is being increasingly used as a modality to detect …
Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Models and methods for analyzing DCE‐MRI: A review
Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer
J Wang, CJ Wu, ML Bao, J Zhang, XN Wang… - European …, 2017 - Springer
Objective To investigate whether machine learning-based analysis of MR radiomics can
help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa) …
help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa) …
Frontiers of medical robotics: from concept to systems to clinical translation
Medical robotics is poised to transform all aspects of medicine—from surgical intervention to
targeted therapy, rehabilitation, and hospital automation. A key area is the development of …
targeted therapy, rehabilitation, and hospital automation. A key area is the development of …