AI-driven medical imaging has emerged as a transformative force in modern healthcare, empowering clinicians to deliver more accurate, efficient, [...]

Our paper proposes a multi-stage Green U-shaped Learning (GUSL) framework for efficient and reliable IHC image quantification. As shown [...]

Histopathologic analysis is a key confirmatory step in the cancer diagnosis pipeline, where pathologists analyze a tissue section of interest for [...]

We are proposing video quality assessment using green learning principles, with the objective of identifying visual distortions while minimizing computational [...]