[HTML][HTML] Progress on deep learning in digital pathology of breast cancer: a narrative review
J Zhu, M Liu, X Li - Gland surgery, 2022 - ncbi.nlm.nih.gov
Methods A PubMed search with keywords (“breast neoplasm” or “breast cancer”) and
(“pathology” or “histopathology”) and (“artificial intelligence” or “deep learning”) was …
(“pathology” or “histopathology”) and (“artificial intelligence” or “deep learning”) was …
Artificial intelligence in breast cancer histopathology
RCK Chan, CKC To, KCT Cheng, T Yoshikazu… - …, 2023 - Wiley Online Library
This is a review on the use of artificial intelligence for digital breast pathology. A systematic
search on PubMed was conducted, identifying 17,324 research papers related to breast …
search on PubMed was conducted, identifying 17,324 research papers related to breast …
[HTML][HTML] Breast cancer dataset, classification and detection using deep learning
Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …
[HTML][HTML] Application of deep learning in histopathology images of breast cancer: a review
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
[HTML][HTML] Artificial intelligence in digital breast pathology: techniques and applications
A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea… - The Breast, 2020 - Elsevier
Breast cancer is the most common cancer and second leading cause of cancer-related
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …
A drive through computer-aided diagnosis of breast cancer: a comprehensive study of clinical and technical aspects
Breast cancer is a very common and life-threatening disease in women worldwide. The
number of breast cancer cases is increasing with time. Prevention of this disease is very …
number of breast cancer cases is increasing with time. Prevention of this disease is very …
[HTML][HTML] Accuracy analysis of deep learning methods in breast cancer classification: A structured review
Breast cancer is diagnosed using histopathological imaging. This task is extremely time-
consuming due to high image complexity and volume. However, it is important to facilitate …
consuming due to high image complexity and volume. However, it is important to facilitate …
[HTML][HTML] Deep learning based methods for breast cancer diagnosis: a systematic review and future direction
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
[HTML][HTML] Deep learning on histopathology images for breast cancer classification: A bibliometric analysis
Medical imaging is gaining significant attention in healthcare, including breast cancer.
Breast cancer is the most common cancer-related death among women worldwide …
Breast cancer is the most common cancer-related death among women worldwide …
[HTML][HTML] Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology
D Mandair, JS Reis-Filho, A Ashworth - NPJ breast cancer, 2023 - nature.com
Breast cancer remains a highly prevalent disease with considerable inter-and intra-tumoral
heterogeneity complicating prognostication and treatment decisions. The utilization and …
heterogeneity complicating prognostication and treatment decisions. The utilization and …