All Outputs (4)

Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma (2023)
Journal Article
Burrows, L., Sculthorpe, D., Zhang, H., Rehman, O., Mukherjee, A., & Chen, K. (2024). Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma. Journal of Pathology Informatics, 15, Article 100351. https://doi.org/10.1016/j.jpi.2023.100351

Whilst automated analysis of immunostains in pathology research has focused predominantly on the epithelial compartment, automated analysis of stains in the stromal compartment is challenging and therefore requires time-consuming pathological input a... Read More about Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Conference Proceeding
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., …Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15630-15640). https://doi.org/10.1109/cvpr52729.2023.01500

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.

Associations between AI-Assisted Tumor Amphiregulin and Epiregulin IHC and Outcomes from Anti-EGFR Therapy in the Routine Management of Metastatic Colorectal Cancer (2023)
Journal Article
Williams, C. J. M., Elliott, F., Sapanara, N., Aghaei, F., Zhang, L., Muranyi, A., …Quirke, P. (2023). Associations between AI-Assisted Tumor Amphiregulin and Epiregulin IHC and Outcomes from Anti-EGFR Therapy in the Routine Management of Metastatic Colorectal Cancer. Clinical Cancer Research, 29(20), 4153-4165. https://doi.org/10.1158/1078-0432.CCR-23-0859

Purpose: High tumor production of the EGFR ligands, amphiregulin (AREG) and epiregulin (EREG), predicted benefit from anti-EGFR therapy for metastatic colorectal cancer (mCRC) in a retrospective analysis of clinical trial data. Here, AREG/EREG IHC wa... Read More about Associations between AI-Assisted Tumor Amphiregulin and Epiregulin IHC and Outcomes from Anti-EGFR Therapy in the Routine Management of Metastatic Colorectal Cancer.

Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue (2023)
Journal Article
Corden, C., Boitor, R., Dusanjh, P. K., Harwood, A., Mukherjee, A., Gomez, D., & Notingher, I. (2023). Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue. Journal of Surgical Research, 288, 10-20. https://doi.org/10.1016/j.jss.2023.02.014

Introduction: Identifying colorectal liver metastases (CRLM) during liver resection could assist in achieving clear surgical margins, which is an important prognostic variable for both disease-free and overall survival. The aim of this study was to i... Read More about Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue.