Many methods of brain tumor classification,there is no uniform classification,and a variety of tumors and pathological features of the different tissue,the study of benign and malignant,and things are not the same characteristics.Usually can be classified as histological:(1) Originated in glial tumor...
Medical image classificationfeature fusionTRANSFORMERGliomas have the highest mortality rate of all brain tumors.Correctly classifying the glioma risk period can help doctors make reasonable treatment plans and improve patients'survival rates.This paper proposes a hierarchical multi-scale attention feature ...
Although classification of astrocytic tumors is standardized by the WHO grading system, which is mainly based on microscopy-derived, histomorphological features, there is great interobserver variability. The main causes are thought to be the complexity of morphological details varying from tumor to tumor...
FusionNet: Dual input feature fusion network with ensemble based filter feature selection for enhanced brain tumor classification Akash Verma, Arun Kumar Yadav 1 April 2025 Research articleAbstract only Role of dexmedetomidine in postoperative cognitive dysfunction and sleep improvement in aged rats by regu...
Radiologists could soon be using AI to detect brain tumors A paper titled "Deep Learning and Transfer Learning for Brain Tumor Detection and Classification" published in Biology Methods and Protocols shows that scientists can train artificial intelligence (AI) models to distinguish ... ...
Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma In a large, partially prospective cohort of patients with molecularly profiled and clinically annotated meningioma, the extent of surgical resection and radiotherapy (RT) response correlate with molecular classificatio...
Establishment and robust expansion of human fetal brain organoids, their characterization and adaptation for downstream analyses, and how to genome engineer them to generate bottom-up brain tumor models. Anna Pagliaro Francesco Andreatta Delilah Hendriks ...
multimodal magnetic resonance technology,how to effectively use multimodal MRI imaging for distinguishing glial tumor from normal tissue and tumor margin has become a hot topic in recent years.In this paper,the research evolving of multimodality MRI in identifying tumor margin for brain gliomas is ...
paper, we used CNN activations trained by ImageNet to extract features (4096 neurons, 13:3% active). In addition, feature selection, feature pooling, and data augmentation are used in our work. Our system obtained 97:5% accuracy on clas...
Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics AI-guided epigenetic classification is integral for accurate brain tumour diagnosis. Here, the authors introduce an interpretable framework to explain the AI process, revealing biological insights and potential therapeutic target...