Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain tumor classification   deep learning   ensemble learning   multiclass classification   transfer learning   explainable AI   vision transformers  

In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma after Tumor Resection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain   glioma   growth model   magnetic resonance imaging   validation  

Research Review on the Predictive Value of Low-Grade Glioma Postoperative Growth Models Introduction Glioma is an aggressive brain tumor whose cells rapidly diffuse within the brain. Understanding and predicting the pattern and speed of this diffusion can help optimize treatment plans. Glioma growth models based on diffusion-proliferation have show...

Phantom and In Vivo Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
frameless stereotaxis   optical navigation   laser interstitial thermal therapy   accuracy   targeting error  

Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy Background Glioblastoma is a rapidly growing and invasive brain tumor, and traditional treatment methods include surgical resection, radiation therapy, and chemotherapy. However, for some patients with deep-seated tumors or poor physical conditions, traditio...

Laser Interstitial Thermal Therapy for First-Line Treatment of Insular Glioma: A Novel Treatment Framework

Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
insular glioma   laser interstitial thermal therapy   safety   cytoreductive treatment   surgical management  

Application of Laser Interstitial Thermal Therapy in Insular Gliomas Research Background and Problem Statement The management of insular gliomas has always faced significant surgical challenges. Due to the complex functional and vascular anatomy surrounding the insula, maximally safe resection is highly technically challenging. Removing low-grade a...

Outcomes of Mechanical Thrombectomy for Acute Ischemic Stroke in Cancer Patients: A Single-Center Experience and Meta-Analysis

Medicine, Emergency Medicine, Neurology, Oncology,
Mechanical Thrombectomy   Acute Ischemic Stroke   Cancer Patients   Single-Center Experience   Meta-Analysis   Clinical Outcomes   Safety  

Research Report: Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke Patients with Cancer Background Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) is a severe neurological injury, which is further complicated in cancer patients. Cancer-related stroke mechanisms include a hypercoagulable state, coagulopathies due to tumor-...

Development and Validation of a Deep Learning Radiomics Model with Clinical-Radiological Characteristics for the Identification of Occult Peritoneal Metastases in Patients with Pancreatic Ductal Adenocarcinoma

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
deep learning   radiomics   occult peritoneal metastases   pancreatic ductal adenocarcinoma   computed tomography  

Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...