Diabetes, nowadays, is a very common disease throughout the world among people of all
ages. The higher level of blood sugar in the blood more often leads to Damage to blood …

This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from
an unseen tubular structured annotation that contains the binary vessel (or neuronal) …

Multiplexed imaging such as multicolor immunofluorescence staining, multiplexed
immunohistochemistry (mIHC) or cyclic immunofluorescence (cycIF) enables deep …

Recent studies have shown that CycleGAN is a highly influential medical image synthesis
model. However, the lack of sufficient constraints and the bottleneck layer in auto-encoder …

Retinal images acquired using fundus cameras are often visually blurred due to imperfect
imaging conditions, refractive medium turbidity, and motion blur. In addition, ocular diseases …

Automated skin lesion analysis is one of the trending fields that has gained attention among
the dermatologists and health care practitioners. Skin lesion restoration is an essential pre …

In the era of data-driven machine learning algorithms, data is the new oil. For the most
optimal results, datasets should be large, heterogeneous and, crucially, correctly labeled …

This study attempts to synthesize a realistic-looking fundus image from a morphologically
changed vessel structure using the newly proposed sharpening and varying vessels …

Background and objective Diabetic retinopathy (DR) is the most prevalent microvascular
complication of diabetes mellitus and can lead to irreversible visual loss. Screening …

Annotations are critical for machine learning and developing computer aided diagnosis
(CAD) algorithms. Good performance of CAD is critical to their adoption, which generally rely …