Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network
FD Khameneh, S Razavi, M Kamasak - Computers in biology and medicine, 2019 - Elsevier
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the
second most common type of cancer affecting women in the United States. Normally, human …
second most common type of cancer affecting women in the United States. Normally, human …
Ki-67 and breast cancer prognosis: does it matter if Ki-67 level is examined using preoperative biopsy or postoperative specimen?
SB Choi, JM Park, JH Ahn, J Go, J Kim, HS Park… - Breast Cancer Research …, 2022 - Springer
Purpose This study aimed to identify the association between Ki-67 level and the prognosis
of patients with breast cancer, regardless of the timing of Ki-67 testing (using preoperative …
of patients with breast cancer, regardless of the timing of Ki-67 testing (using preoperative …
Compound computer vision workflow for efficient and automated immunohistochemical analysis of whole slide images
Aims Immunohistochemistry (IHC) assessment of tissue is a central component of the
modern pathology workflow, but quantification is challenged by subjective estimates by …
modern pathology workflow, but quantification is challenged by subjective estimates by …
Automatic segmentation of immunohistochemical images based on U-net architecture
O Berezsky, O Pitsun, B Derysh… - 2021 IEEE 16th …, 2021 - ieeexplore.ieee.org
In this paper, the application of convolutional neural networks for automatic segmentation of
immunohistochemical images based on the U-net architecture is investigated. The quality of …
immunohistochemical images based on the U-net architecture is investigated. The quality of …
Detection of Ki67 hot-spots of invasive breast cancer based on convolutional neural networks applied to mutual information of H&E and Ki67 whole slide images
Z Swiderska-Chadaj, J Gallego, L Gonzalez-Lopez… - Applied Sciences, 2020 - mdpi.com
Ki67 hot-spot detection and its evaluation in invasive breast cancer regions play a significant
role in routine medical practice. The quantification of cellular proliferation assessed by Ki67 …
role in routine medical practice. The quantification of cellular proliferation assessed by Ki67 …
Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification
Q He, Y Liu, F Pan, H Duan, J Guan, Z Liang… - International Journal of …, 2023 - Springer
Purpose Ki67 is a protein associated with tumor proliferation and metastasis in breast
cancer and acts as an essential prognostic factor. Clinical work requires recognizing tumor …
cancer and acts as an essential prognostic factor. Clinical work requires recognizing tumor …
An Extensive Survey on Various Tumor Detection in Histopathological Images Using Deep Learning Techniques
M Subramanian, N Ganesan… - … on Emerging Trends …, 2023 - atlantis-press.com
Abstract Nowadays Biomedical Image Processing is the most developing field and its
demand also more in various growth of several applications. Research into these medical …
demand also more in various growth of several applications. Research into these medical …
[PDF][PDF] A Review: Recent Approaches on Improving the Accuracy in Determining the Tumor and Cancer Grading in Histopathological Images Based on Scoring Ki67 …
FA Dzulkifli, MY Mashor, KSAB Rahman… - American Journal of …, 2021 - nwpii.com
Tumor markers are substances formed by cancer cells or other cells in the body, which aims
to indicate the presence of cancer and provide information related to cancer growth. The …
to indicate the presence of cancer and provide information related to cancer growth. The …
[引用][C] An innovative and accurate deep learning based HER2 scoring method HER2-unet
F Damband Khameneh - Bilişim Enstitüsü