Radiology Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML). June 27, 2024
Neurology | Oncology | Radiology Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach. June 27, 2024
Neurology | Radiology Refining neural network algorithms for accurate brain tumor classification in MRI imagery. May 21, 2024
Radiology Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. May 15, 2024
Agricultural Science | Computer Science Investigating attention mechanisms for plant disease identification in challenging environments. May 6, 2024
Oncology | Pathology | Radiology Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer. March 22, 2024
Oncology | Pathology Oral squamous cell carcinoma detection using EfficientNet on histopathological images. February 13, 2024
Oncology | Radiology Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model. November 24, 2023
Pathology A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma. November 24, 2023
Biomedical Informatics | Genomics | Oncology Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques. November 24, 2023
Radiology Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants. November 24, 2023
Medical Imaging | Oncology | Radiology Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images. October 28, 2023