This article discusses the development of an accurate and explainable deep learning model for the image-guided diagnosis support of Parkinson’s disease using high-resolution, multimodal…
Browsing: MRI
This study investigated the stability of MRI-based radiomics features in a rectal cancer cohort of 81 patients when generating features from both anatomical MRI…
This paper reviews existing research on brain tumor detection and discusses the importance of medical imaging modalities, particularly MRI. It proposes a method involving…
Magnetic resonance imaging (MRI) is an essential tool in medical diagnostics, however its utility has been limited by factors such as high costs and…
This article introduces a novel deep fully convolutional neural network model designed for segmenting stroke lesions using MRI images. The proposed model employs a…
This study aimed to develop a structural MRI-based biomarker to predict the long-term changes in motor symptoms of Parkinson’s Disease (PD) patients. The biomarker…
This study examines the performance of deep learning-based networks for disease classification tasks using multi-center MRI data from three scanner manufacturers (GE, Philips, and…
This study focuses on developing a robust machine learning model to predict the aggressiveness of gliomas according to World Health Organization (WHO) grading by…
A mother’s three-year search for her son’s source of pain was answered by ChatGPT, an AI chatbot. Despite seeing 17 doctors, the mother was…
This article discusses the use of deep learning and other techniques to automatically classify brain malignancies using brain magnetic resonance images. Mohsen et al.…