A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have ...

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s ...

We show the effectiveness of EvidenceCap in three segmentation datasets and apply it to the clinic. Our work sheds light on clinical safe applications and explainable AI, and can contribute towards ...

Abstract: Automatic ultrasound image segmentation improves the efficiency of clinical diagnosis and decreases the workload of doctors. Many ultrasound image segmentation methods only focus on ...

Highly Accurate Dichotomous Image Segmentation presents a new task called Dichotomous Image Segmentation (DIS), which aims to segment highly accurate objects from natural images. An example instance ...

Abstract: Accurate spine segmentation is crucial in clinical diagnosis and treatment of spine diseases. However, due to the complexity of spine anatomical structure, it has remained a challenging task ...

Market segmentation is the fancy marketer's term for dividing up the pool of potential customers based on shared characteristics, with the idea of targeting different messages to different segments.

This study highlights AI's role in cervical cancer screening, improving detection and treatment through advanced image ...

Cervical cancer remains a major health threat for women globally, with the highest incidence in developing nations. Despite ...

Nanoparticles (NPs) are versatile tools in various applications, particularly in the biomedical fields. To understand their behavior within biological systems, it is crucial to measure their ...