Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis
P Liu, Y Sun, X Zhao, Y Yan - BioMedical Engineering OnLine, 2023 - Springer
Purpose The contouring of organs at risk (OARs) in head and neck cancer radiation
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …
Deep-learning-based ensemble method for fully automated detection of renal masses on magnetic resonance images
Purpose Accurate detection of small renal masses (SRM) is a fundamental step for
automated classification of benign and malignant or indolent and aggressive renal tumors …
automated classification of benign and malignant or indolent and aggressive renal tumors …
Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI
Due to superior soft tissue contrast afforded by magnetic resonance imaging (MRI), there is
great potential for multi-parametric MRI (mpMRI) for the detection and eventual classification …
great potential for multi-parametric MRI (mpMRI) for the detection and eventual classification …
VisioRenalNet: Spatial Vision Transformer UNet for enhanced T2-Weighted Kidney MRI Segmentation
K Afnaan, S Palaniswamy, T Singh… - Procedia Computer …, 2024 - Elsevier
Abstract Chronic Kidney Disease (CKD) afflicts approximately 20% of the global population,
underscoring the pressing need for precise detection and diagnosis. Accurate kidney …
underscoring the pressing need for precise detection and diagnosis. Accurate kidney …
Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images
H Jeong, H Kim, H Hong, DC Jung… - Medical Imaging …, 2023 - spiedigitallibrary.org
Segmentation of the renal parenchyma responsible for a renal function is necessary for
surgical planning and decisionmaking of renal partial nephrectomy (RPN) by identifying the …
surgical planning and decisionmaking of renal partial nephrectomy (RPN) by identifying the …
Development of Machine Learning Algorithms for Kidney Cancer Diagnosis from Multi-Parametric MRI and Histopathology Images
R Gaikar - 2023 - atrium.lib.uoguelph.ca
Medical imaging techniques like computed tomography (CT), magnetic resonance imaging
(MRI), and histopathology examinations are used to investigate various kidney cancers …
(MRI), and histopathology examinations are used to investigate various kidney cancers …