4 accepted papers
Electrocardiogram (ECG) signals are crucial indicators of various human physiological states. A thorough analysis of these signals is indispensable for applications such as disease prediction, mental stress assessment, and other medical diagnostics. Despite the rapid progress in large language model…
Research on automated diagnosis of Coronavirus Disease 2019 (COVID-19) has increased in recent months. SPGC COVID19 aims at classifying the grouped images of the same patient into COVID, Community Acquired Pneumonia(CAP) or normal. In this paper, we propose a novel ensemble learning framework to sol…
Cervical cancer is one of the most commonly diagnosed cancer types worldwide, while is curable if detected early. However, few computer-aided algorithms have been explored on cervical histology image, which is vital for abnormality assessment. In this paper, an end-to-end deep segmentation network f…
The scarcity of professional doctors stimulates the progress of breast cancer classification. However, there are still numerous challenges such as varied appearances (color, texture etc.) of microscopy images and the ambiguous category boundaries. In this paper, we propose an efficient and effective…