Publications & research

MSc DISSERTATION · UNIVERSITY OF LEEDS · 2026

Deep Learning for Improving Cell Segmentation and Classification in Histology Images

Robin Guo

Compared ViT-256/SAM-H backbones with HoVer-Net/CPP-Net decoders, reproducing PanNuke benchmarks and evaluating 14 MoNuSeg images without fine-tuning.

SAM-H showed the more consistent effect on segmentation performance across datasets, while decoder effects varied by dataset and evaluation metric.

CO-AUTHORED RESEARCH DRAFT · 2026

Dividend Change Prediction through Evidence-Grounded Cross-Source Temporal Semantics

Integrating Financial Fundamentals, Corporate Disclosures, News, and Social Media.

Proposes a framework combining financial predictors with evidence-grounded semantic features and a prospective validation protocol for dividend-change classification.