Breast cancer remains a critical global health challenge, with timely and reliable diagnosis being essential for improving clinical outcomes. Although recent advances in computer aided diagnosis (CAD) have increasingly adopted deep learning, many exi... read more
Oral diseases are increasing now-a-days and there is a high demand for the automatic diagnostic system that helps the clinician to detect these oral diseases with more accuracy and reduced human error. Utilizing the advancement of Deep Learning techn... read more
Sustained engagement in HIV care and adherence to ART are crucial for meeting the UNAIDS "95-95-95" targets. Disengagement from care remains a significant issue, especially in sub-Saharan Africa. Traditional machine learning (ML) models have had mode... read more
This paper presents a novel knowledge graph enhanced cross-modal generative adversarial network (KG-CMGAN) for preserving traditional martial arts techniques. We address the challenges of capturing the complex, multidimensional nature of martial arts... read more
Diabetic Retinopathy (DR) is a critical source of blindness that can be prevented globally, and accurate analysis of retinal fundus images enables early detection. Fundus images are often affected by multiple noise sources, which impair image quality... read more
NASA Johnson Space Center has collected more than 54,000 space hardware failure reports. Obtaining engineering processes trends or root cause analysis by manual inspection is impractical. Fortunately, novel data science tools in Machine Learning and ... read more
High-dimensional genomic datasets often contain redundant, noisy, and sparse features that make accurate classification challenging for conventional deep learning (DL) models. Existing approaches generally fail to maintain interpretability and stabil... read more
The molecular subtype of endometrial cancer is important for predicting prognosis and treatment effectiveness. This study aimed to develop an interpretable deep learning model based on H&E-stained whole slide images (WSIs) to predict the molecular su... read more
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