Detection of erbb2 and cen17 signals in fluorescent in situ hybridization and dual in situ hybridization for guiding breast cancer her2 target therapy

CW Wang, MA Khalil, YJ Lin, YC Lee… - Artificial Intelligence in …, 2023 - Elsevier
The overexpression of the human epidermal growth factor receptor 2 (HER2) is a predictive
biomarker in therapeutic effects for metastatic breast cancer. Accurate HER2 testing is …

Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy

CW Wang, KL Chu, H Muzakky, YJ Lin, TK Chao - Cancers, 2023 - mdpi.com
Simple Summary Early detection and personalized treatment for breast cancer are vital for
breast cancer patients survival. Computational pathology approaches can be employed by …

Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images

T Xue, H Chang, M Ren, H Wang, Y Yang, B Wang… - Scientific Reports, 2023 - nature.com
Human epidermal growth factor receptor 2 (HER2) gene amplification helps identify breast
cancer patients who may respond to targeted anti-HER2 therapy. This study aims to develop …

Using Whole Slide Gray Value Map to Predict HER2 Expression and FISH Status in Breast Cancer

Q Yao, W Hou, K Wu, Y Bai, M Long, X Diao, L Jia… - Cancers, 2022 - mdpi.com
Simple Summary HER2 expression is important for target therapy in breast cancer patients,
however, accurate evaluation of HER2 expression is challenging for pathologists owing to …

Weakly supervised bilayer convolutional network in segmentation of her2 related cells to guide her2 targeted therapies

CW Wang, KL Lin, H Muzakky, YJ Lin… - … Medical Imaging and …, 2023 - Elsevier
Overexpression of human epidermal growth factor receptor 2 (HER2/ERBB2) is identified as
a prognostic marker in metastatic breast cancer and a predictor to determine the effects of …

93P An AI-driven computational biomarker from H&E slides recovers cases with low levels of HER2 from immunohistochemically HER2-negative breast cancers

A Marra, M Goldfinger, E Millar, M Hanna… - Annals of …, 2022 - annalsofoncology.org
Background Novel anti-HER2 antibody drug conjugates (ADCs) have shown efficacy in
breast cancers (BCs) expressing low levels of HER2 (ie, IHC 1+/2+). A subset of BCs …

155P Artificial Intelligence (AI)-powered human epidermal growth factor receptor-2 (HER2) and tumor-infiltrating lymphocytes (TIL) analysis for HER2-positive early …

SY Cho, Y Lim, SI Cho, S Kim, G Park… - Annals of …, 2022 - annalsofoncology.org
Background HER2 is an important predictive biomarker of HER2-targeted therapies for
breast cancer. Reliable HER2 testing is essential for clinical practice, but …

Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues

F Zakrzewski, W de Back, M Weigert, T Wenke… - Scientific reports, 2019 - nature.com
The human epidermal growth factor receptor 2 (HER2) gene amplification status is a crucial
marker for evaluating clinical therapies of breast or gastric cancer. We propose a deep …

Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer

ME Vandenberghe, MLJ Scott, PW Scorer… - Scientific reports, 2017 - nature.com
Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for
patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous …

Determining HER2 status by artificial intelligence: an investigation of primary, metastatic, and HER2 low breast tumors

C Palm, CE Connolly, R Masser, B Padberg Sgier… - Diagnostics, 2023 - mdpi.com
The expression of human epidermal growth factor receptor 2 (HER2) protein or gene
transcripts is critical for therapeutic decision making in breast cancer. We examined the …