Automated medical image segmentation suffers from high interobserver variability, particularly in tasks such as lung nodule delineation, where experts often disagree. Existing …
Accurate grading of Conjunctival Melanocytic Intraepithelial Lesions (CMIL) is essential for treatment and melanoma prediction but remains difficult due to subtle morphological …
Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor diagnostic quality compared to …
Deep Learning (DL) stands at the forefront of artificial intelligence, revolutionizing computer science with its prowess in various tasks, especially in computer vision and medical …
Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most lethal cancers, with an increasing incidence. Lymph node metastasis (LNM) is a critical factor that influences both …
Over the past decades, computer-aided diagnosis tools for breast cancer have been developed to enhance screening procedures, yet their clinical adoption remains challenged by data …
Chest X-rays are an important diagnostic tool, but their interpretation by radiologists can be complex and time consuming. Deep Learning (DL) was identified as a possible solution …