Abstract Three-dimensional (3D) virtual reconstruction (VR) in the medical sciences has
emerged as a novel, exciting and effective tool, with promising results for patients, trainees …

With the advancement of retinal imaging, hyperreflective foci (HRF) on optical coherence
tomography (OCT) images have gained significant attention as potential biological …

Computer segmentation of abdominal organs using CT and MRI images can benefit
diagnosis, treatment, and workload management. In recent years, UNETs have been widely …

Polyps segmentation is one of the key medical challenges in the gastrointestinal (GI) tract.
Polyps segmentation provides the early-stage diagnosis of polyps which may lead to colon …

Density Peaks Clustering (DPC) has recently received much attention in many fields by
reason of its simplicity and efficiency. Nevertheless, empirical studies have shown that DPC …

Purpose Accurate and fast multiorgan segmentation is essential in image‐based internal
dosimetry in nuclear medicine. While conventional manual PET image segmentation is …

Manual segmentation of medical images (eg, segmenting tumors in CT scans) is a high-
effort task that can be accelerated with machine learning techniques. However, selecting the …

A polyp is an abnormal growth that can occur in the colon and can be a precursor to
colorectal cancer. Colorectal cancer can be diagnosed and treated earlier when polyps are …

The commonly used automatic segmentation algorithms often have over-segmentation and
error-segmentation problems when segmenting conglutinated bone fragments in computed …

Görüntü işlemede en temel konulardan biri eşikleme yöntemidir. Bu yöntem, yaygın olarak
gri tonlamalı görüntülerdeki farklı homojenliğe sahip bölgelerin bölütlenmesinde …