Artificial intelligence applied to breast pathology
M Yousif, PJ van Diest, A Laurinavicius, D Rimm… - Virchows Archiv, 2022 - Springer
The convergence of digital pathology and computer vision is increasingly enabling
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …
Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer
A Levy-Jurgenson, X Tekpli, VN Kristensen… - Scientific reports, 2020 - nature.com
Digital analysis of pathology whole-slide images is fast becoming a game changer in cancer
diagnosis and treatment. Specifically, deep learning methods have shown great potential to …
diagnosis and treatment. Specifically, deep learning methods have shown great potential to …
Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional …
Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance
due to inter-laboratory variability. Here we tested an open source and calibrated automated …
due to inter-laboratory variability. Here we tested an open source and calibrated automated …
Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement
T Koopman, HJ Buikema, H Hollema… - Breast cancer research …, 2018 - Springer
Abstract Purpose The Ki67 proliferation index is a prognostic and predictive marker in breast
cancer. Manual scoring is prone to inter-and intra-observer variability. The aims of this study …
cancer. Manual scoring is prone to inter-and intra-observer variability. The aims of this study …
Generative adversarial networks in medical image processing
M Gong, S Chen, Q Chen, Y Zeng… - Current pharmaceutical …, 2021 - ingentaconnect.com
Background: The emergence of generative adversarial networks (GANs) has provided new
technology and framework for the application of medical images. Specifically, a GAN …
technology and framework for the application of medical images. Specifically, a GAN …
[HTML][HTML] Machine-learning–based evaluation of intratumoral heterogeneity and tumor-stroma interface for clinical guidance
A Laurinavicius, A Rasmusson, B Plancoulaine… - The American journal of …, 2021 - Elsevier
Assessment of intratumoral heterogeneity and tumor-host interaction within the tumor
microenvironment is becoming increasingly important for innovative cancer therapy …
microenvironment is becoming increasingly important for innovative cancer therapy …
Independent prognostic value of intratumoral heterogeneity and immune response features by automated digital immunohistochemistry analysis in early hormone …
D Zilenaite, A Rasmusson, R Augulis… - Frontiers in …, 2020 - frontiersin.org
Immunohistochemistry (IHC) for ER, PR, HER2, and Ki67 is used to predict outcome and
therapy response in breast cancer patients. The current IHC assessment, visual or digital, is …
therapy response in breast cancer patients. The current IHC assessment, visual or digital, is …
[HTML][HTML] Digital image analysis of Ki67 heterogeneity improves the diagnosis and prognosis of gastroenteropancreatic neuroendocrine neoplasms
M Zhang, C Tan, X Wang, X Ding, B Zhang, Z Yang… - Modern Pathology, 2023 - Elsevier
Ki67 is a reliable grading and prognostic biomarker of gastroenteropancreatic
neuroendocrine neoplasms (GEP-NENs). The intratumor heterogeneity of Ki67, correlated …
neuroendocrine neoplasms (GEP-NENs). The intratumor heterogeneity of Ki67, correlated …
Impact of tissue sampling on accuracy of Ki67 immunohistochemistry evaluation in breast cancer
J Besusparis, B Plancoulaine, A Rasmusson… - Diagnostic …, 2016 - Springer
Background Gene expression studies have identified molecular subtypes of breast cancer
with implications to chemotherapy recommendations. For distinction of these types, a …
with implications to chemotherapy recommendations. For distinction of these types, a …
Immuno-interface score to predict outcome in colorectal cancer independent of microsatellite instability status
Simple Summary For pathologists, how to precisely diagnose cancer from microscopy slides
of tumor tissue samples so that each patient may receive the optimal treatment for his …
of tumor tissue samples so that each patient may receive the optimal treatment for his …