MediAI

 A Study on Classification and Segmentation of Brain Tumor MRI using MediAI http://dx.doi.org/10.4283/JMAG.2025.30.1.74 Abstract Brain tumors, arising due to genetic, environmental, and immune system factors, are typically classified as primary or metastatic. Primary brain tumors originate from brain tissue and include types such as adenomas, epithelial tumors, gliomas, meningiomas, and schwannomas, while metastatic tumors spread from other body parts. The rapid and accurate diagnosis of brain tumors is crucial, and MRI is an indispensable tool in this regard due to its non-invasive nature and superior imaging capabilities. This study focuses on developing a method for the classification and segmentation of MRI images of primary brain tumors, particularly gliomas, to enhance diagnosis and treatment assessment. We propose MediAI, a Convolutional Neural Network (CNN) leveraging transfer learning with ResNet50, to classify MRI images of brain tumors. The dataset comprises 414 MRI imag...

  Manganese Ferrite (MnFe 2 O 4 ) based Magnetic Nano-Cluster for  T 2  Weighted 3T MR Imaging in Triple-Negative Breast Cancer http://dx.doi.org/10.4283/JMAG.2025.30.1.6 Abstract In this study, we sought to develop Manganese Ferrite (MnFe 2 O 4 ) based Magnetic Nano-cluster (MNC) for specifically designed for the detection of triple-negative breast cancer (TNBC) through the use of magnetic resonance imaging (MRI). The MnFe2O4-based MNCs were synthesized utilizing a thermal decomposition method, which allowed for precise control over their structural properties. Following synthesis, the average size of the MNC was measured to be 69 ± 27.4 nm, a dimension that is optimal for effective imaging and cellular interactions. To evaluate the biocompatibility of the synthesized MNC, we conducted a series of cytotoxicity tests. These tests revealed that cellular viability remained above 82 % across all treatment concentrations, indicating that the MNCs exhibit minimal cytotoxi...