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[HTML][HTML] Real-time segmentation and classification of whole-slide images for tumor biomarker scoring
Histopathology image segmentation and classification are essential for diagnosing and
treating breast cancer. This study introduced a highly accurate segmentation and …
treating breast cancer. This study introduced a highly accurate segmentation and …
Multi-configuration analysis of densenet architecture for whole slide image scoring of er-ihc
Nuclei classification is a mandatory process to obtain scoring information for whole slide
images (WSIs). In immunohistochemistry (IHC) staining specifically for estrogen receptor …
images (WSIs). In immunohistochemistry (IHC) staining specifically for estrogen receptor …
An immunohistochemical scoring network based on multi-branch and dual attention mechanisms for the evaluation of biomarker PCNA in esophageal cancer
Immunohistochemical (IHC) detection is crucial for diagnosing esophageal cancer.
Proliferating Cell Nuclear Antigen (PCNA) is a key biomarker in IHC analysis, aiding in …
Proliferating Cell Nuclear Antigen (PCNA) is a key biomarker in IHC analysis, aiding in …
Hybrid Deep Learning Architectures for Histological Image Segmentation
In histopathology image analysis, accurate segmentation of nuclei holds immense
significance, particularly in the early detection and treatment of diseases like breast cancer …
significance, particularly in the early detection and treatment of diseases like breast cancer …
Real-time segmentation of ihc images from microscope using deep learning architecture
Segmentation of nuclei in digital histopathology image analysis plays a critical role in the
early assessment of breast cancer and may enable patients to get appropriate treatment. In …
early assessment of breast cancer and may enable patients to get appropriate treatment. In …
HER2-Sish Histopathology Image Classification Using Deep Neural Networks
The status of the human epidermal growth factor receptor 2 (HER2) gene amplification is an
important marker for assessing the efficacy of clinical treatments for breast cancer. This …
important marker for assessing the efficacy of clinical treatments for breast cancer. This …