Latest AI and machine learning research in dermatology for healthcare professionals.
Dermatology artificial intelligence (AI) models are predominantly trained on light-skinned, cancer-f...
Automated lesion segmentation in whole-body PET/CT is complicated by the variety of physiological tr...
Stroke remains a leading cause of mortality and long-term disability worldwide, yet rapid diagnosis ...
Automated lesion segmentation is increasingly central to PSMA PET/CT interpretation, supporting stag...
Age-related macular degeneration (AMD) and diabetic macular edema (DME) are leading causes of vision...
Ovarian lesion classification using transvaginal ultrasound remains challenging due to overlapping i...
Accurate stroke lesion segmentation is essential for large-scale neuroimaging studies, yet manual de...
The interpretation of endoscopic imagery in ulcerative colitis is complex and subjective, with varia...
Segmenting ischemic stroke lesions on T1-weighted (T1w) MRI acquired across different scanners and p...
Progress in precision oncology, including biomarker discovery and individualized treatment selection...
Purpose: Clinical assessment of vertebral lesion quality (osteolytic, osteoblastic, mixed) remains s...
Positron emission tomography (PET) imaging suffers from limited spatial resolution and low signal-to...
Deep learning models that synthesize PET from CT or MRI can reduce patient dose and scanner demand, ...
Breast lesion detection in mammography remains a challenging task due to variations in image quality...
Skin cancer diagnosis from dermoscopic images remains challenging due to high intra-class variabilit...
Automated lesion segmentation in whole-body PET/CT imaging can assist clinicians with cancer detecti...
Lung cancer remains one of the leading causes of cancer- related mortality worldwide. Although targe...
The development of deep learning over the past decade has revolutionized medical imaging segmentatio...
White matter hyperintensities (WMH), bright regions on Fluid-attenuated Inversion Recovery (FLAIR) s...
Self-supervised pretraining objectives are spatially uniform: the teacher temperature and the per-pa...
Human-interpretable computer-aided diagnosis is crucial for clinical decision making. Concept-based ...