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Found 7 papers, 3 papers with code
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications
One approach involves converting images into nodes by identifying significant keypoints within them.
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis
Then, we utilize generative adversarial networks (GANs) to tackle the inverse problem of generating mammogram-quality images from ultrasound images.
Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data
We propose a novel approach based on reverse knowledge distillation to train large models with limited data while preventing overfitting.
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Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade.
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
We present WSSAMNet, a weakly supervised method for medical image registration.
Perceptual cGAN for MRI Super-resolution
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients.
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance.
