Diagnosis of endometrial cancer based on deep learning
Tsung‐Ying Yang, Y. Ni, Lei Zheng · IET conference proceedings. · 2024
Endometrial cancer is the most common malignant tumor of the female reproductive system in developed countries, and the second most common malignant tumor in our country. The early detection and treatment can improve the survival rate. Although there are many ways to locate a cancer, the only way to determine whether a cancer is benign or malignant is through a pathological examination. In order to solve the subjectivity of manual diagnosis and improve the speed and accuracy of doctors' diagnosis, this paper uses image segmentation to assist doctors in rapid diagnosis of tumor stages. While improving the diagnostic accuracy, artificial intelligence is used to assist medical students in computer research.