Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has received extensive research interest in developing new medical image
processing algorithms, and deep learning based models have been remarkably successful …
processing algorithms, and deep learning based models have been remarkably successful …
Artificial intelligence in diagnostic imaging: impact on the radiography profession
The arrival of artificially intelligent systems into the domain of medical imaging has focused
attention and sparked much debate on the role and responsibilities of the radiologist …
attention and sparked much debate on the role and responsibilities of the radiologist …
[HTML][HTML] Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
[HTML][HTML] Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Though consistently shown to detect mammographically occult cancers, breast ultrasound
has been noted to have high false-positive rates. In this work, we present an AI system that …
has been noted to have high false-positive rates. In this work, we present an AI system that …
[HTML][HTML] Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
Survey on machine learning and deep learning applications in breast cancer diagnosis
Cancer is a fatal disease caused due to the undesirable spread of cells. Breast carcinoma is
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …
Novel approaches to screening for breast cancer
Screening for breast cancer reduces breast cancer–related mortality and earlier detection
facilitates less aggressive treatment. Unfortunately, current screening modalities are …
facilitates less aggressive treatment. Unfortunately, current screening modalities are …
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Early diagnosis of breast lesions and differentiation of malignant lesions from benign lesions
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
are important for the prognosis of breast cancer. In the diagnosis of this disease ultrasound …
Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study
VA Arasu, LA Habel, NS Achacoso, DSM Buist… - Radiology, 2023 - pubs.rsna.org
Background Although several clinical breast cancer risk models are used to guide screening
and prevention, they have only moderate discrimination. Purpose To compare selected …
and prevention, they have only moderate discrimination. Purpose To compare selected …
[HTML][HTML] An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Medical images differ from natural images in significantly higher resolutions and smaller
regions of interest. Because of these differences, neural network architectures that work well …
regions of interest. Because of these differences, neural network architectures that work well …