Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …

Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

Due to the terrible manifestations of skin cancer, it seriously disturbs the quality of life status
and health of patients, so we needs treatment plans to detect it early and avoid it causing …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

Recently, depression research has received considerable attention and there is an urgent
need for objective and validated methods to detect depression. Depression detection based …

Background Multimodal medical image detection is a key technology in medical image
analysis, which plays an important role in tumor diagnosis. There are different sizes lesions …

To improve the detection of COVID-19, this paper researches and proposes an effective
swarm intelligence algorithm-driven multi-threshold image segmentation (MTIS) method …

Fundus tessellation (FT) is a prevalent clinical feature associated with myopia and has
implications in the development of myopic maculopathy, which causes irreversible visual …

Melanoma is a malignant tumor formed by the cancerous transformation of melanocytes,
and its medical images contain much information. However, the percentage of the critical …

Waterway transportation is a crucial mode of transportation, but ensuring navigational safety
in waterways requires effective guidance of ships by the Water Resources Bureau. However …