CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. (arXiv:2206.08524v1 [cs.CV])

Web: http://arxiv.org/abs/2206.08524

Precise and rapid categorization of images in the B-scan ultrasound modality
is vital for diagnosing ocular diseases. Nevertheless, distinguishing various
diseases in ultrasound still challenges experienced ophthalmologists. Thus a
novel contrastive disentangled network (CDNet) is developed in this work,
aiming to tackle the fine-grained image categorization (FGIC) challenges of
ocular abnormalities in ultrasound images, including intraocular tumor (IOT),
retinal detachment (RD), posterior scleral staphyloma (PSS), and vitreous
hemorrhage (VH). Three essential components of CDNet are the weakly-supervised
lesion localization module …

arxiv cv fine image network