[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …
detection of BC allows patients to receive appropriate treatment, thus increasing the …
Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
Principles and perspectives in medical diagnostic systems employing artificial intelligence (AI) algorithms
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
Breast cancer detection using infrared thermal imaging and a deep learning model
Women's breasts are susceptible to develo** cancer; this is supported by a recent study
from 2016 showing that 2.8 million women worldwide had already been diagnosed with …
from 2016 showing that 2.8 million women worldwide had already been diagnosed with …
Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
Automated breast cancer detection models based on transfer learning
M Alruwaili, W Gouda - Sensors, 2022 - mdpi.com
Breast cancer is among the leading causes of mortality for females across the planet. It is
essential for the well-being of women to develop early detection and diagnosis techniques …
essential for the well-being of women to develop early detection and diagnosis techniques …