Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) remain key challenges in medical image analysis, primarily due to the lack of high-quality, balanced, and ...

The field of neuroimaging has experienced a remarkable revolution with the advent of machine learning algorithms. Brain imaging techniques such as magnetic resonance imaging (MRI), functional MRI ...

In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an advanced convolutional neural network (CNN) leveraging the DenseNet-121 architecture, enhanced with ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

1 Department of Computer Science, Sudan Technical University, Khartoum, Sudan. 2 Faculty of Computer Science and Information Technology, Alzaiem Alazhri University, Khartoum, Sudan. 3 Applied College, ...

NYU Langone’s Department of Radiology seeks to transform the way artificial intelligence (AI) is used in medical imaging. We are at the forefront of the development, validation, and clinical ...

Currently, the second most devastating form of cancer in people, particularly in women, is Breast Cancer (BC). In the healthcare industry, Machine Learning (ML) is commonly employed in fatal disease ...

Abstract: Nowadays, Brain tumor detection has turned into a casualty in the health care sector. A tumor is a swelling or a morbid enlargement caused by an overabundant growth of cells and their ...

Figure shows coarse attention maps generated using GradCAM for correctly classified high-grade glioma (HGG), low-grade glioma (LGG), brain metastases (METS), meningioma (MEN), acoustic neuroma (AN), ...

The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods based on 2D and 3D Deep ...

This is why machine learning is defined as a program whose performance improves with experience. Machine learning is applicable to many real-world tasks, including image classification, voice ...

A 49-year-old patient notices a painless rash on his shoulder but does not seek care. Months later, his wife asks him to see a doctor, who diagnoses a seborrheic keratosis. Later, when the patient ...