AIMC Topic: Immunohistochemistry
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Insights into AI advances in immunohistochemistry for effective breast cancer treatment: a literature review of ER, PR, and HER2 scoring.
Current medical research and opinion
Jan 6, 2025
Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used technique for the evaluation of breast cancer markers, but manual scoring ...
Immunohistochemistry-Free Enhanced Histopathology of the Rat Spleen Using Deep Learning.
Toxicologic pathology
Dec 26, 2024
Enhanced histopathology of the immune system uses a precise, compartment-specific, and semi-quantitative evaluation of lymphoid organs in toxicology studies. The assessment of lymphocyte populations in tissues is subject to sampling variability and l...
Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.
British journal of haematology
Dec 3, 2024
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtypi...
Neprilysin
Lymphoma, Follicular
CD5 Antigens
High-Throughput Nucleotide Sequencing
Immunohistochemistry
Lymphoma, B-Cell
Lymphoma, Mantle-Cell
Leukemia, Hairy Cell
Waldenstrom Macroglobulinemia
Retrospective Studies
Leukemia, Lymphocytic, Chronic, B-Cell
East Asian People
Mutation
Flow Cytometry
Bone Marrow
Humans
Machine Learning
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.
Scientific reports
Dec 2, 2024
Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mortality. Early and accurate diagnosis holds significant importance in enhancing patient treatment and prognosis. Machine learning technology and bioinfo...
as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.
Cancer biotherapy & radiopharmaceuticals
Oct 18, 2024
Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is a lack of effective biomarkers for early diagnosis and treatment. RNA-seq data from public databases (GSE49355, GSE101607) were collected and normal...
Precision HER2: a comprehensive AI system for accurate and consistent evaluation of HER2 expression in invasive breast Cancer.
BMC cancer
Sep 30, 2024
BACKGROUND: With the development of novel anti-HER2 targeted drugs, such as ADCs, it has become increasingly important to accurately interpret HER2 expression in breast cancer. Previous studies have demonstrated high intra-observer and inter-observer...
Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease.
Computer methods and programs in biomedicine
Sep 13, 2024
BACKGROUND AND OBJECTIVE: Histologic assessment of the immune infiltrate in H&E slides is vital in diagnosing and managing inflammatory bowel diseases, but these assessments are subjective and time-consuming even for those with expertise. The develop...
Histopathologic Differential Diagnosis and Estrogen Receptor/Progesterone Receptor Immunohistochemical Evaluation of Breast Carcinoma Using a Deep Learning-Based Artificial Intelligence Architecture.
The American journal of pathology
Sep 4, 2024
In breast carcinoma, invasive ductal carcinoma (IDC) is the most common histopathologic subtype, and ductal carcinoma in situ (DCIS) is a precursor of IDC. These two often occur concomitantly. The immunohistochemical staining of estrogen receptor (ER...
Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides.
Breast cancer research : BCR
Aug 19, 2024
BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new subtype of tumor, for which novel antibody-drug conjugates have shown beneficial effects. Assessment of HER2 requires several immunohistochemistry test...
Differentially localized protein identification for breast cancer based on deep learning in immunohistochemical images.
Communications biology
Aug 2, 2024
The mislocalization of proteins leads to breast cancer, one of the world's most prevalent cancers, which can be identified from immunohistochemical images. Here, based on the deep learning framework, location prediction models were constructed using ...
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