Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a significant number of …
L Fang, X Wang - Pattern Recognition, 2022 - Elsevier
Because of the tumor with infiltrative growth, the glioma boundary is usually fused with the brain tissue, which leads to the failure of accurately segmenting the brain tumor structure …
Abstract Background Every year, around 1.5 million women worldwide receive a breast cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …
Breast cancer presents a substantial health obstacle since it is the most widespread invasive cancer and the second most common cause of death in women. Prompt identification is …
Early detection of breast cancer is an essential procedure to reduce the mortality rate among women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called …
Breast cancer is a prevalent global disease where early detection is crucial for effective treatment and reducing mortality rates. To address this challenge, a novel Computer-Aided …
SK Singh, KS Patnaik - Multimedia Tools and Applications, 2024 - Springer
Breast Cancer, with an expected 42,780 deaths in the US alone in 2024, is one of the most prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
S Liu, GMS Himel, J Wang - IEEE Access, 2024 - ieeexplore.ieee.org
Automatic classification of breast cancer in histopathology images is crucial for accurate diagnosis and effective treatment planning. Recently, classification methods based on the …
Medical image data often face the problem of data scarcity and costly annotation processes. To overcome this, our study introduces a novel transfer learning method for medical image …