Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
GitHub

MS3SEG: A Multiple Sclerosis MRI Dataset with Tri-Mask Annotations for Lesion Segmentation

Not all white matter hyperintensities (WMH) visible on FLAIR imaging represent pathological MS lesions. Age-related changes and CSF contamination artifacts can mimic MS lesions, leading to ...
IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
IEEE

Image Segmentation Used Different Machine and Deep Learning Technology for Breast Cancer Diagnosis

Abstract: This study will examine MetaAI's 2023 Segment Anything Model (SAM) and apply it to medical image segmentation. Second, this study compares SAM's medical picture segmentation to other models.