Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …
technique called artificial neural networks to extract patterns and make predictions from …
Artificial intelligence as the next step towards precision pathology
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic
diagnosis of cancer is increasing as personalized cancer therapy requires accurate …
diagnosis of cancer is increasing as personalized cancer therapy requires accurate …
Estrogen and progesterone receptor testing in breast cancer: ASCO/CAP guideline update
KH Allison, MEH Hammond, M Dowsett… - Journal of Clinical …, 2020 - ascopubs.org
PURPOSE To update key recommendations of the American Society of Clinical
Oncology/College of American Pathologists estrogen (ER) and progesterone receptor (PgR) …
Oncology/College of American Pathologists estrogen (ER) and progesterone receptor (PgR) …
Estrogen and progesterone receptor testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists guideline update
KH Allison, MEH Hammond… - … of pathology & …, 2020 - meridian.allenpress.com
Purpose.—To update key recommendations of the American Society of Clinical
Oncology/College of American Pathologists estrogen receptor (ER) and progesterone …
Oncology/College of American Pathologists estrogen receptor (ER) and progesterone …
Molecular subtypes and local-regional control of breast cancer
SM Fragomeni, A Sciallis… - Surgical Oncology …, 2018 - surgonc.theclinics.com
Breast cancer is a heterogeneous disease that affects one anatomic site, yet is
phenotypically variable. 1, 2 The identification of different biological subtypes occurs …
phenotypically variable. 1, 2 The identification of different biological subtypes occurs …
Artificial intelligence in diagnostic pathology
S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …
Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
Breast cancer is the most common malignant disease in women worldwide. In recent
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …
[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
Ki-67 as a prognostic biomarker in invasive breast cancer
Simple Summary In breast cancer development, the expression of Ki-67 is strongly
associated with cancer proliferation and is a known indicator of prognosis and outcome. Ki …
associated with cancer proliferation and is a known indicator of prognosis and outcome. Ki …
Immune infiltrates in the breast cancer microenvironment: detection, characterization and clinical implication
S Burugu, K Asleh-Aburaya, TO Nielsen - Breast cancer, 2017 - Springer
Although unlike melanoma, breast cancer is not generally viewed as a highly immunogenic
cancer, recent studies have described a rich tumor immune microenvironment in a subset of …
cancer, recent studies have described a rich tumor immune microenvironment in a subset of …