Oncology | Radiology From CNN to Transformer: A Review of Medical Image Segmentation Models. March 4, 2024
Hepatology | Radiology A fully automatic parenchyma extraction method for MRI T2* relaxometry of iron loaded liver in transfusion-dependent patients. March 2, 2024
Ophthalmology Deep-learning-based automated measurement of outer retinal layer thickness for use in the assessment of age-related macular degeneration, applicable to both swept-source and spectral-domain OCT imaging. January 15, 2024
Neurology | Radiology 2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder. January 15, 2024
Oncology | Radiology A neural network with a human learning paradigm for breast fibroadenoma segmentation in sonography. January 14, 2024
Artificial Intelligence | Medical Imaging | Radiology MS-CFNet: a multi-scale clinical studying-based and feature extraction-guided network for breast fibroadenoma segmentation in ultrasonography. January 8, 2024
Ophthalmology Deep Learning with Automatic Data Augmentation for Segmenting Schisis Cavities in the Optical Coherence Tomography Images of X-Linked Juvenile Retinoschisis Patients. October 14, 2023
Radiology | Veterinary Medicine A deep learning model for automated kidney calculi detection on non-contrast computed tomography scans in dogs. October 6, 2023
Oncology | Radiology BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI. August 24, 2023
Pediatrics | Radiology Development of lung segmentation method in x-ray images of children based on TransResUNet. July 26, 2023