Baggage scanning for potential dangers has become a significant worldwide concern in the
aviation industry. The manual process of identifying prohibited items can be tedious and …

Natural disasters include earthquakes, land sliding, floods, and typhoons causing great
damage to manmade structures. To efficiently manage natural disasters, it is important to …

The emerging deep learning algorithms have shown significant potential in the development
of efficient computer-aided diagnosis tools for automated detection of lung infections using …

摘要眼底疾病是致盲的主要原因之一. 借助光学相干层析成像技术(OCT),
可实现早期眼底疾病的发现和及时治疗, 是预防失明的有效手段. 为缓解医生的阅片压力 …

As ocular computer-aided diagnostic (CAD) tools become more widely accessible, many
researchers are developing deep learning (DL) methods to aid in ocular disease (OHD) …

At present, laser surgery is one of the effective ways to treat the chronic central serous
chorioretinopathy (CSCR), in which the location of the leakage area is of great importance …

Optical coherence tomography (OCT) angiography has drawn much attention in the medical
imaging field. Binarization plays an important role in quantitative analysis of eye with optical …

This research explores the potential of transfer and ensemble learning techniques applied to
retinal OCT scans to classify six biomarkers. This work evaluates a variety of model …

Optical coherence tomography (OCT) is a noninvasive ophthalmic technique used to
diagnose different retinal diseases based on image texture and geometric features. Manual …

Optical Coherence Tomography is a noncontact, non-invasive imaging regarded as the best
diagnostic approach when compared to other imaging techniques. It provides convenience …