Medical image identification methods: A review
J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2024 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …
medical image retrieval and mining. Medical image data mainly include electronic health …
[HTML][HTML] Breast cancer diagnosis: A systematic review
The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
Deep learning empowered breast cancer diagnosis: Advancements in detection and classification
Recent advancements in AI, driven by big data technologies, have reshaped various
industries, with a strong focus on data-driven approaches. This has resulted in remarkable …
industries, with a strong focus on data-driven approaches. This has resulted in remarkable …
[HTML][HTML] A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …
mortality rate of this disease pose severe global health issues for women. Identifying the …
Deep learning performance for detection and classification of microcalcifications on mammography
F Pesapane, C Trentin, F Ferrari, G Signorelli… - European Radiology …, 2023 - Springer
Background Breast cancer screening through mammography is crucial for early detection,
yet the demand for mammography services surpasses the capacity of radiologists. Artificial …
yet the demand for mammography services surpasses the capacity of radiologists. Artificial …
[HTML][HTML] MFAN: multi-feature attention network for breast cancer classification
Cancer-related diseases are some of the major health hazards affecting individuals globally,
especially breast cancer. Cases of breast cancer among women persist, and the early …
especially breast cancer. Cases of breast cancer among women persist, and the early …
Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study
Approaches for rapidly identifying patients at high risk of early breast cancer recurrence are
needed. Image-based methods for prescreening hematoxylin and eosin (H&E) stained …
needed. Image-based methods for prescreening hematoxylin and eosin (H&E) stained …
[HTML][HTML] Grad-CAM Enabled Breast Cancer Classification with a 3D Inception-ResNet V2: Empowering Radiologists with Explainable Insights
Breast cancer (BCa) poses a severe threat to women's health worldwide as it is the most
frequently diagnosed type of cancer and the primary cause of death for female patients. The …
frequently diagnosed type of cancer and the primary cause of death for female patients. The …
Machine learning applications in breast cancer prediction using mammography
Breast cancer is the second leading cause of cancer-related deaths among women. Early
detection of lumps and subsequent risk assessment significantly improves prognosis. In …
detection of lumps and subsequent risk assessment significantly improves prognosis. In …
Segmentation for mammography classification utilizing deep convolutional neural network
Background Mammography for the diagnosis of early breast cancer (BC) relies heavily on
the identification of breast masses. However, in the early stages, it might be challenging to …
the identification of breast masses. However, in the early stages, it might be challenging to …