Radiology Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. May 15, 2024
Orthopedics | Radiology A Systematic Review on Deep Learning Model in Computer-aided Diagnosis for Anterior Cruciate Ligament Injury. May 9, 2024
Neurology | Oncology | Radiology Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. April 30, 2024
Neurology | Radiology A feature-enhanced network for stroke lesion segmentation from brain MRI images. April 10, 2024
Neurology | Radiology End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images. April 2, 2024
Neurology | Radiology Design and Development of Hypertuned Deep learning Frameworks for Detection and Severity Grading of Brain Tumor using Medical Brain MR images. March 18, 2024
Oncology | Radiology Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images. March 4, 2024
Neurology | Radiology An intelligent LinkNet-34 model with EfficientNetB7 encoder for semantic segmentation of brain tumor. January 16, 2024
Neurology | Radiology Methods of Brain Extraction from Magnetic Resonance Images of Human Head: A Review. August 15, 2023
Oncology | Radiology Machine Learning based Tumor Diagnosis using Compressive Sensing in MRI images. July 31, 2023
Radiology Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images. May 5, 2023
Neurology | Oncology | Radiology Identification of origin for spinal metastases from MRI images: comparison between radiomics and deep learning methods. April 14, 2023