Traditional screening of cervical cancer type classification majorly depends on the
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …

Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

Prenatal screening of chromosomal abnormalities is an important means of ensuring the
healthy survival rate of newborns. The complex information and tedious workload of …

In recent years, deep learning methods have outperformed previous state-of-the-art machine
learning techniques for several problems, including image classification. Classifying cells in …

One of the most challenging aspects of medical image analysis is the lack of a high quantity
of annotated data. This makes it difficult for deep learning algorithms to perform well due to a …

Cervical cancer is the second biggest killer of female cancer, second only to breast cancer.
The cure rate of precancerous lesions found early is relatively high. Therefore, cervical cell …

Cervical cancer is one of the most common cancers that threaten women's lives, and its
early screening is of great significance for the prevention and treatment of cervical diseases …

The morphology of the cervical cell nucleus is the most important consideration for
pathological cell identification. And a precise segmentation of the cervical cell nucleus …

Accurate diagnosis is a significant step in cancer treatment. Machine learning can support
doctors in prognosis decision-making, and its performance is always weakened by the high …

Segmentation of nuclei and cytoplasm inside the cellular clumps in cervical smear images is
a difficult task because of the poor contrast and unpredictable shape of cytoplasm. This …