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相关论文: BCI: Breast Cancer Immunohistochemical Image Gener…

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The overexpression of the human epidermal growth factor receptor 2 (HER2) in breast cells is a key driver of HER2-positive breast cancer, a highly aggressive subtype requiring precise diagnosis and targeted therapy. Immunohistochemistry…

图像与视频处理 · 电气工程与系统科学 2026-03-10 Sara Rehmat , Hafeez Ur Rehman , Byeong-Gwon Kang , Sarra Ayouni , Yunyoung Nam

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective…

Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis. Accurate assessment of immunohistochemically (IHC) stained…

Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using expensive medical tests are most expensive. Therefore, the aim of this…

图像与视频处理 · 电气工程与系统科学 2022-11-22 M. F. Mridha , Md. Kishor Morol , Md. Asraf Ali , Md Sakib Hossain Shovon

Breast Cancer (BC) is among women's most lethal health concerns. Early diagnosis can alleviate the mortality rate by helping patients make efficient treatment decisions. Human Epidermal Growth Factor Receptor (HER2) has become one the most…

计算机视觉与模式识别 · 计算机科学 2023-10-30 Md Sakib Hossain Shovon , M. F. Mridha , Khan Md Hasib , Sultan Alfarhood , Mejdl Safran , Dunren Che

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation…

Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognised…

Breast cancer (BC) is the most common cancer among women world-wide, approximately 20-25% of BCs are HER-2 positive. Analysis of HER-2 is fundamental to defining the appropriate therapy for patients with breast cancer. Inter-pathologist…

计算机视觉与模式识别 · 计算机科学 2018-05-16 Caroline Q. Cordeiro , Sergio O. Ioshii , Jeovane H. Alves , Lucas F. Oliveira

Breast cancer, the most common malignancy among women, requires precise detection and classification for effective treatment. Immunohistochemistry (IHC) biomarkers like HER2, ER, and PR are critical for identifying breast cancer subtypes.…

计算机视觉与模式识别 · 计算机科学 2025-03-31 Ekansh Chauhan , Anila Sharma , Amit Sharma , Vikas Nishadham , Asha Ghughtyal , Ankur Kumar , Gurudutt Gupta , Anurag Mehta , C. V. Jawahar , P. K. Vinod

Computational analysis of multiplexed immunofluorescence histology data is emerging as an important method for understanding the tumour micro-environment in cancer. This work presents HEMIT, a dataset designed for translating Hematoxylin…

图像与视频处理 · 电气工程与系统科学 2024-09-30 Chang Bian , Beth Philips , Tim Cootes , Martin Fergie

The overexpression of human epidermal growth factor receptor 2 (HER2) has been established as a therapeutic target in multiple types of cancers, such as breast and gastric cancers. Immunohistochemistry (IHC) is employed as a basic HER2 test…

图像与视频处理 · 电气工程与系统科学 2020-09-16 Jun Zhang , Kuan Tian , Pei Dong , Haocheng Shen , Kezhou Yan , Jianhua Yao , Junzhou Huang , Xiao Han

Breast cancer presents a significant healthcare challenge globally, demanding precise diagnostics and effective treatment strategies, where histopathological examination of Hematoxylin and Eosin (H&E) stained tissue sections plays a central…

图像与视频处理 · 电气工程与系统科学 2024-08-06 Linhao Qu , Chengsheng Zhang , Guihui Li , Haiyong Zheng , Chen Peng , Wei He

Breast cancer is a highly fatal disease among cancers in women, and early detection is crucial for treatment. HER2 status, a valuable diagnostic marker based on Immunohistochemistry (IHC) staining, is instrumental in determining breast…

图像与视频处理 · 电气工程与系统科学 2024-09-04 Linda Wei , Shengyi Hua , Shaoting Zhang , Xiaofan Zhang

Breast cancer is the most common cancer among women worldwide. The human epidermal growth factor receptor 2 (HER2) with immunohistochemical (IHC) is widely used for pathological evaluation to provide the appropriate therapy for patients…

定量方法 · 定量生物学 2022-03-08 Zichen Zhang , Lang Wang , Shuhao Wang

Immunohistochemistry (IHC) analysis is a well-accepted and widely used method for molecular subtyping, a procedure for prognosis and targeted therapy of breast carcinoma, the most common type of tumor affecting women. There are four…

图像与视频处理 · 电气工程与系统科学 2024-06-18 Sumit Kumar Jha , Purnendu Mishra , Shubham Mathur , Gursewak Singh , Rajiv Kumar , Kiran Aatre , Suraj Rengarajan

Despite the advances in machine learning and digital pathology, it is not yet clear if machine learning methods can accurately predict molecular information merely from histomorphology. In a quest to answer this question, we built a…

图像与视频处理 · 电气工程与系统科学 2023-08-07 Amir Akbarnejad , Nilanjan Ray , Penny J. Barnes , Gilbert Bigras

Breast cancer is the most common malignancy in women, being responsible for more than half a million deaths every year. As such, early and accurate diagnosis is of paramount importance. Human expertise is required to diagnose and correctly…

Immunohistochemistry (IHC) biomarkers are essential tools for reliable cancer diagnosis and subtyping. It requires cross-staining comparison among Whole Slide Images (WSIs) of IHCs and hematoxylin and eosin (H&E) slides. Currently,…

图像与视频处理 · 电气工程与系统科学 2023-12-27 Abubakr Shafique , Morteza Babaie , Ricardo Gonzalez , Adrian Batten , Soma Sikdar , H. R. Tizhoosh

The popular use of histopathology images, such as hematoxylin and eosin (H&E), has proven to be useful in detecting tumors. However, moving such cancer cases forward for treatment requires accurate on the amount of the human epidermal…

计算机视觉与模式识别 · 计算机科学 2025-12-30 Olaide N. Oyelade , Oliver Hoxey , Yulia Humrye

Breast cancer histopathology image classification is critical for early detection and improved patient outcomes. 1 This study introduces a novel approach leveraging EfficientNetV2 models, to improve feature extraction and focus on relevant…

图像与视频处理 · 电气工程与系统科学 2025-05-14 Naren Sengodan
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