Skin cancer is one of the most prevalent cancers worldwide, and early detection is crucial for successful treatment. Deep learning has shown promise in automating skin lesion classification; however, most methods require ...

Diabetic retinopathy (DR) is a leading cause of preventable blindness worldwide. Automated DR grading is inherently challenging due to the ordinal nature of disease stages, where misclassifications across distant stages ...

Floorplan understanding is critical for architectural design, reconstruction, and urban planning. Accurate detection of foundation structures help to determine the stability and the functionality of buildings. We present ...

Underwater imaging is important for diverse applications. However, the quality of underwater images is often diminished due to light absorption, scattering, noise, and uneven illumination. These issues result in colour ...

Speckle noise in ultrasound imaging degrades image quality, leading to reduced diagnostic accuracy and challenges to automated image analysis. Conventional deep-learning methods are hindered by the scarcity of paired ...

Rice is a vital global food crop, yet its production faces significant threats from leaf diseases that reduce both yield and quality. While automated disease classification models exist, current approaches face fundamental ...

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that manifests in distinct stages, including cognitively normal (CN), mild cognitive impairment (MCI), and severe AD. An early and precise classification ...

Estimating age and gender simultaneously from a single facial image is important for many applications. Although previous deep learning approaches have achieved strong performance in gender classification, their performance ...

Bharatanatyam, the oldest Indian classical dance form, relies on hand gestures to convey meanings and narratives. Recognizing these gestures is important for performance analysis and for supporting novice learners. This ...

In this study, a natural dye from the flowers of Mussaenda erythrophylla extracted separately in ethanol and de-ionized water was employed as a photosensitizer in DSSCs. The quantitative phytochemical analyses were ...