MCL Research on Variable-Length Word Embeddings
We propose Variable-Length Word Embeddings, a POS-aware and compute-efficient Word2Vec training framework. Traditional embeddings assign the same dimensionality to [...]
MCL Research on Renal Image Segmentation
AI-driven medical imaging has emerged as a transformative force in modern healthcare, empowering clinicians to deliver more accurate, efficient, [...]
MCL Research on Renal Imaging Analysis
Our paper proposes a multi-stage Green U-shaped Learning (GUSL) framework for efficient and reliable IHC image quantification. As shown [...]
MCL Research on Whole Slide Image Analysis
Histopathologic analysis is a key confirmatory step in the cancer diagnosis pipeline, where pathologists analyze a tissue section of interest for [...]