[HTML][HTML] Radiomics and deep learning for disease detection in musculoskeletal radiology: an overview of novel MRI-and CT-based approaches
Radiomics and machine learning–based methods offer exciting opportunities for improving
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
MRI radiomics-based machine learning classification of atypical cartilaginous tumour and grade II chondrosarcoma of long bones
S Gitto, R Cuocolo, K van Langevelde… - …, 2022 - thelancet.com
Background Atypical cartilaginous tumour (ACT) and grade II chondrosarcoma (CS2) of long
bones are respectively managed with watchful waiting or curettage and wide resection …
bones are respectively managed with watchful waiting or curettage and wide resection …
Radiomics of pediatric low-grade gliomas: toward a pretherapeutic differentiation of BRAF-mutated and BRAF-fused tumors
BACKGROUND AND PURPOSE: B-Raf proto-oncogene, serine/threonine kinase (BRAF)
status has important implications for prognosis and therapy of pediatric low-grade gliomas …
status has important implications for prognosis and therapy of pediatric low-grade gliomas …
CT radiomics-based machine learning classification of atypical cartilaginous tumours and appendicular chondrosarcomas
S Gitto, R Cuocolo, A Annovazzi, V Anelli… - …, 2021 - thelancet.com
Background Clinical management ranges from surveillance or curettage to wide resection
for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate …
for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate …
An update in musculoskeletal tumors: From quantitative imaging to radiomics
V Chianca, D Albano, C Messina, G Vincenzo… - La radiologia …, 2021 - Springer
In the last two decades, relevant progress has been made in the diagnosis of
musculoskeletal tumors due to the development of new imaging tools, such as diffusion …
musculoskeletal tumors due to the development of new imaging tools, such as diffusion …
Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches
Deep learning-based MRI diagnosis of internal joint derangement is an emerging field of
artificial intelligence, which offers many exciting possibilities for musculoskeletal radiology. A …
artificial intelligence, which offers many exciting possibilities for musculoskeletal radiology. A …
MRI radiomics-based machine-learning classification of bone chondrosarcoma
S Gitto, R Cuocolo, D Albano, V Chianca… - European Journal of …, 2020 - Elsevier
Purpose To evaluate the diagnostic performance of machine learning for discrimination
between low-grade and high-grade cartilaginous bone tumors based on radiomic …
between low-grade and high-grade cartilaginous bone tumors based on radiomic …
Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies
K Nagawa, M Suzuki, Y Yamamoto, K Inoue… - Scientific reports, 2021 - nature.com
To develop a machine learning (ML) model that predicts disease groups or autoantibodies
in patients with idiopathic inflammatory myopathies (IIMs) using muscle MRI radiomics …
in patients with idiopathic inflammatory myopathies (IIMs) using muscle MRI radiomics …
Effects of interobserver variability on 2D and 3D CT-and MRI-based texture feature reproducibility of cartilaginous bone tumors
S Gitto, R Cuocolo, I Emili, L Tofanelli, V Chianca… - Journal of Digital …, 2021 - Springer
This study aims to investigate the influence of interobserver manual segmentation variability
on the reproducibility of 2D and 3D unenhanced computed tomography (CT)-and magnetic …
on the reproducibility of 2D and 3D unenhanced computed tomography (CT)-and magnetic …