Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: a systematic review and meta-analysis
S Wu, X Li, J Miao, D Xian, M Yue, H Liu, S Fan… - … -Research and Practice, 2024 - Elsevier
Accurate assessment of HER2 expression in tumor tissue is crucial for determining HER2-
targeted treatment options. Nevertheless, pathologists' assessments of HER2 status are less …
targeted treatment options. Nevertheless, pathologists' assessments of HER2 status are less …
Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma
DJ Ho, NP Agaram, AO Frankel, M Lathara… - Modern …, 2024 - modernpathology.org
In the article,“Machine learning for rhabdomyosarcoma histopathology,” Frankel et al 1
showed that a convolutional neural network (CNN)-based differential diagnoses model can …
showed that a convolutional neural network (CNN)-based differential diagnoses model can …
Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors–Analytical Validation
T Zehra, M Shams, R Ali, A Jafri… - … Journal of General …, 2023 - Taylor & Francis
Background Neuroendocrine tumors (NETs) represent a diverse group of neoplasms that
arise from neuroendocrine cells, with Ki-67 immunostaining serving as a crucial biomarker …
arise from neuroendocrine cells, with Ki-67 immunostaining serving as a crucial biomarker …
Application of AI in detection of breast cancer with laboratory results monitoring
S Prevljak, A Kustura, B Hasanefendic… - Bioengineering …, 2024 - journals.ardascience.com
Breast cancer is one of the most common types of cancer among women worldwide,
therefore an early and precise process of diagnostics plays an important role in improving …
therefore an early and precise process of diagnostics plays an important role in improving …