With non-invasive and high-resolution properties, optical coherence tomography (OCT) has
been widely used as a retinal imaging modality for the effective diagnosis of ophthalmic …

Optical coherence tomography (OCT) is an emerging imaging technique for diagnosing
ophthalmic diseases and the visual analysis of retinal structure changes, such as exudates …

Neovascular age-related macular degeneration (nAMD) is one of the major causes of
irreversible blindness and is characterized by accumulations of different lesions inside the …

Background This study aims to achieve an automatic differential diagnosis between two
types of retinal pathologies with similar pathological features-Polypoidal choroidal …

Background Medical images such as Optical Coherence Tomography (OCT) images
acquired from different devices may show significantly different intensity profiles. An …

Automatic segmentation of curvilinear objects in medical images plays an important role in
the diagnosis and evaluation of human diseases, yet it is a challenging uncertainty in the …

Precise recognition and delineation of tumors play a pivotal role in the radiotherapy of non-
small cell lung cancer (NSCLC). The current manual delineation techniques used in clinical …

Background: The accurate segmentation of the appendix with well-defined boundaries is
critical for diagnosing conditions such as acute appendicitis. The manual identification of the …

Multi-parametric MRI (mpMRI) is widely used for prostate cancer (PCa) diagnosis. Deep
learning models show good performance in detecting PCa on mpMRI, but domain-specific …

Segmenting retinal vessels plays a significant role in the diagnosis of fundus disorders.
However, there are two problems in the retinal vessel segmentation methods. First, fine …