Simple Summary Oral cancer is characterized by high morbidity and mortality, since the
disease is typically in an advanced locoregional stage at the time of diagnosis. The …

Cancer is one of the most deadly diseases diagnosed among the population across the
globe so far. The number of cases is increasing at a high pace each year that subsequently …

Over the years, several machine-learning applications have been suggested to assist in
various clinical scenarios relevant to oral cancer. We offer a systematic review to identify …

Oral epithelial dysplasia is a precancerous lesion that presents alterations in the shape and
size of cell nuclei and can be graded as mild, moderate and severe. The conventional …

In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …

Bladder cancer is a fatal cancer that happens in the genitourinary tract with quite high
morbidity and mortality annually. The high level of recurrence rate ranging from 50 to 80 …

Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

Although oral cancer is considered a global health issue with 350,000 people diagnosed
over a year, it can successfully be treated if diagnosed at early stages. Papanicolaou is an …

针对传统采样方式准确率与鲁棒性不够明显, 欠采样容易丢失重要的样本信息,
而过采样容易引入冗杂信息等问题, 以UCI 公共数据集中的不平衡数据集Pima-Indians 为例 …

Early detection of oral cancer is essential for improving survival rates and diagnostic
precision. Raman cyto-spectroscopy is a useful method, but its interpretive complexity …