Focal Boost in Prostate Cancer Radiotherapy: A Review of Planning Studies and Clinical Trials

Y Zhao, A Haworth, P Rowshanfarzad, MA Ebert - Cancers, 2023 - mdpi.com
Simple Summary By delivering escalated doses to biologically defined sub-volumes within a
target, focal boost radiotherapy is expected to enable an elevated tumor control without an …

Development of a registration framework to validate MRI with histology for prostate focal therapy

HM Reynolds, S Williams, A Zhang… - Medical …, 2015 - Wiley Online Library
Purpose: Focal therapy has been proposed as an alternative method to whole‐gland
treatment for prostate cancer when aiming to reduce treatment side effects. The authors …

Graph Neural Networks in Histopathology: Emerging Trends and Future Directions

S Brussee, G Buzzanca, AMR Schrader… - arXiv preprint arXiv …, 2024 - arxiv.org
Histopathological analysis of Whole Slide Images (WSIs) has seen a surge in the utilization
of deep learning methods, particularly Convolutional Neural Networks (CNNs). However …

Voxel-wise prostate cell density prediction using multiparametric magnetic resonance imaging and machine learning

Y Sun, HM Reynolds, D Wraith, S Williams… - Acta …, 2018 - Taylor & Francis
Background: There are currently no methods to estimate cell density in the prostate. This
study aimed to develop predictive models to estimate prostate cell density from …

Patient‐specific voxel‐level dose prescription for prostate cancer radiotherapy considering tumor cell density and grade distribution

Y Zhao, A Haworth, HM Reynolds, EJ Her… - Medical …, 2023 - Wiley Online Library
Background In prostate radiation therapy, recent studies have indicated a benefit in
increasing the dose to intraprostatic lesions (IPL) compared with standard whole gland …

[HTML][HTML] A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy

RN Finnegan, HM Reynolds, MA Ebert, Y Sun… - Physics and Imaging in …, 2022 - Elsevier
Background and purpose Radiation therapy (RT) is commonly indicated for treatment of
prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival …

Ensemble prostate tumor classification in H&E whole slide imaging via stain normalization and cell density estimation

M Weingant, HM Reynolds, A Haworth… - Machine Learning in …, 2015 - Springer
Classification of prostate tumor regions in digital histology images requires comparable
features across datasets. Here we introduce adaptive cell density estimation and apply H&E …

Performance assessment of automated tissue characterization for prostate H and E stained histopathology

MD DiFranco, HM Reynolds, C Mitchell… - Medical Imaging …, 2015 - spiedigitallibrary.org
Reliable automated prostate tumor detection and characterization in whole-mount histology
images is sought in many applications, including post-resection tumor staging and as …

[PDF][PDF] Quantification of nuclei in synthetic Ki-67 histology images of the breast: image analysis in digital pathology

M Weingant - 2016 - scholar.archive.org
Breast cancer is a common disease and the diagnosis as well as treatment decisions are
among other factors largely based on a number of examinations by the pathologist. They are …

[引用][C] Focal Brachytherapy Treatment Planning Using Multi-Parametric MRI and Biological Dose Optimisation

A Haworth, H Reynolds, C Mears, J Betts… - …, 2015 - brachyjournal.com
Purpose We describe a novel approach to treatment planning for focal brachytherapy
utilizing a biologically based inverse optimization algorithm and biological imaging to target …