Focal Boost in Prostate Cancer Radiotherapy: A Review of Planning Studies and Clinical Trials
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 …
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
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 …
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 …
of deep learning methods, particularly Convolutional Neural Networks (CNNs). However …
Voxel-wise prostate cell density prediction using multiparametric magnetic resonance imaging and machine learning
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 …
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
Background In prostate radiation therapy, recent studies have indicated a benefit in
increasing the dose to intraprostatic lesions (IPL) compared with standard whole gland …
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
Background and purpose Radiation therapy (RT) is commonly indicated for treatment of
prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival …
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 …
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 …
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 …
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
Purpose We describe a novel approach to treatment planning for focal brachytherapy
utilizing a biologically based inverse optimization algorithm and biological imaging to target …
utilizing a biologically based inverse optimization algorithm and biological imaging to target …