2 citations · 3 across the 3 of their papers we have counts for
4 papers
MIDOG 2025: Mitotic Figure Detection with Attention-Guided False Positive Correction
Andrew Broad, Jason Keighley, Lucy Godson +1
We present a novel approach which extends the existing Fully Convolutional One-Stage Object Detector (FCOS) for mitotic figure detection. Our composite model adds a Feedback Attent…
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Charlotte Jennings, Andrew Broad, Lucy Godson +3
Multimodal machine learning integrating histopathology and molecular data shows promise for cancer prognostication. We systematically reviewed studies combining whole slide images…
A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
Jack Breen, Katie Allen, Kieran Zucker +3
Large pretrained transformers are increasingly being developed as generalised foundation models which can underpin powerful task-specific artificial intelligence models. Histopatho…
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Lucy Godson, Navid Alemi, Jeremie Nsengimana +6
Determining early-stage prognostic markers and stratifying patients for effective treatment are two key challenges for improving outcomes for melanoma patients. Previous studies ha…