As a mainstream research direction in the field of image segmentation, medical image
segmentation plays a key role in the quantification of lesions, three-dimensional …

Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from
medical images is an essential step in computer-aided diagnosis, surgical navigation, and …

In this paper, the images of tunnel surface are obtained by tunnel lining rapid inspection
system, and tunnel crack forest dataset (TCFD) is established. The disaster characteristics of …

It has been shown that for automated PAP-smear image classification, nucleus features can
be very informative. Therefore, the primary step for automated screening can be cell-nuclei …

The evolution of deep learning (DL) has made artificial intelligence image recognition a
mature technology. Recently, the use of DL to identify diabetic retinopathy (DR) has been …

Craniopharyngioma is a congenital brain tumor with clinical characteristics of hypothalamic-
pituitary dysfunction, increased intracranial pressure, and visual field disorder, among other …

Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from
medical images is an essential step in computer-aided diagnosis, surgical navigation, and …

An elementary visual unit–the viseme is concerned in the paper in the context of preparing
the feature vector as a main visual input component of Audio-Visual Speech Recognition …

In medical imaging, an X-ray image generated using a flat panel detector (digital) typically
has poor image quality, affecting the capability of successful medical diagnosis based on the …

The structure of the retinal blood vessels can be obtained by segmenting the fundus images.
A fundus image can be gained through color fundus photography or fluorescein …