The objective of this investigation was to improve the diagnosis of breast cancer by
combining two significant datasets: the Wisconsin Breast Cancer Database and the DDSM …

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 …

In the field of augmented reality, deep learning techniques play a crucial role in enhancing
the accuracy of crop disease detection. Cassava, a vital staple for millions in Sub-Saharan …

Developing early breast cancer detection systems presents challenges, including long
processing times, extensive data preprocessing, and handling imbalanced datasets. Class …

The performance of neural network is largely dependent on their capability to extract very
discriminant features supporting the characterization of abnormalities in the medical image …

Breast cancer is one of the most often diagnosed cancers in women, and identifying breast
cancer histological images is an essential challenge in automated pathology analysis …

Globally, breast cancer (BC) remains a significant cause to female mortality. Early detection
of BC plays an important role in reducing premature deaths. Various imaging techniques …

Background Esophageal cancer is the seventh most frequently diagnosed cancer with a
high mortality rate and the sixth leading cause of cancer deaths in the world. Early detection …

Breast cancer (BC) is a leading global health challenge, with survival rate varying
significantly across regions due to socio-economic disparities and healthcare accessibility …

Breast cancer is the most common site of cancer causing death in women around the world.
It is the most frequently diagnosed malignancy in women, and mutations in the tumor …