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 …
Classification of breast tumors based on histopathology images using deep features and ensemble of gradient boosting methods
MR Abbasniya, SA Sheikholeslamzadeh… - Computers and …, 2022 - Elsevier
Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis
of this disease can significantly improve the efficiency of treatment. Computer-Aided …
of this disease can significantly improve the efficiency of treatment. Computer-Aided …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
Introduction This study aims to develop a web application, TB-DRD-CXR, for the
categorization of tuberculosis (TB) patients into subgroups based on their level of drug …
categorization of tuberculosis (TB) patients into subgroups based on their level of drug …
CB-HVT Net: A channel-boosted hybrid vision transformer network for lymphocyte detection in histopathological images
Detection of Tumor-Infiltrating Lymphocytes (TILs) has a high prognostic value in cancer
diagnosis due to their ability to identify and kill cancer cells. However, this task is non-trivial …
diagnosis due to their ability to identify and kill cancer cells. However, this task is non-trivial …
Multi-objective hyperparameter optimization on gradient-boosting for breast cancer detection
P Singh, S Gupta, V Gupta - International Journal of System Assurance …, 2024 - Springer
The most commonly occurring cancer among women, breast cancer, causes lakhs of deaths
annually, which can be prevented by early detection and treatment. Detection can be done …
annually, which can be prevented by early detection and treatment. Detection can be done …
Future practices of breast pathology using digital and computational pathology
MG Hanna, E Brogi - Advances in Anatomic Pathology, 2023 - journals.lww.com
Pathology clinical practice has evolved by adopting technological advancements initially
regarded as potentially disruptive, such as electron microscopy, immunohistochemistry, and …
regarded as potentially disruptive, such as electron microscopy, immunohistochemistry, and …
Using hybrid pre-trained models for breast cancer detection
S Zarif, H Abdulkader, I Elaraby, A Alharbi, WS Elkilani… - Plos one, 2024 - journals.plos.org
Breast cancer is a prevalent and life-threatening disease that affects women globally. Early
detection and access to top-notch treatment are crucial in preventing fatalities from this …
detection and access to top-notch treatment are crucial in preventing fatalities from this …
AI-Based Decision-Support System for Diagnosing Acanthamoeba Keratitis Using In Vivo Confocal Microscopy Images
Purpose: In vivo confocal microscopy (IVCM) of the cornea is a valuable tool for clinical
assessment of the cornea but does not provide stand-alone diagnostic support. The aim of …
assessment of the cornea but does not provide stand-alone diagnostic support. The aim of …
Breast Cancer Mass Classification Using Machine Learning, Binary-Coded Genetic Algorithms and an Ensemble of Deep Transfer Learning
VM Tiryaki, N Tutkun - The Computer Journal, 2024 - academic.oup.com
The diagnosis of breast cancer (BC) as early as possible is crucial for increasing the survival
rate. Mammography enables finding the breast tissue changes years before they could …
rate. Mammography enables finding the breast tissue changes years before they could …