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Lesion border detection in dermoscopy images
BACKGROUND: Dermoscopy is one of the major imaging modalities used in the diagnosis
of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of …
of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of …
Multimodal video indexing: A review of the state-of-the-art
Efficient and effective handling of video documents depends on the availability of indexes.
Manual indexing is unfeasible for large video collections. In this paper we survey several …
Manual indexing is unfeasible for large video collections. In this paper we survey several …
Deep filter banks for texture recognition and segmentation
Research in texture recognition often concentrates on the problem of material recognition in
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
Describing textures in the wild
Patterns and textures are key characteristics of many natural objects: a shirt can be striped,
the wings of a butterfly can be veined, and the skin of an animal can be scaly. Aiming at …
the wings of a butterfly can be veined, and the skin of an animal can be scaly. Aiming at …
Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles
This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …
avoids both static and moving obstacles. The proposed path planning method determines …
Visual tracking: An experimental survey
There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …
A deep learning method for change detection in synthetic aperture radar images
With the rapid development of various technologies of satellite sensor, synthetic aperture
radar (SAR) image has been an import source of data in the application of change detection …
radar (SAR) image has been an import source of data in the application of change detection …
Nerflix: High-quality neural view synthesis by learning a degradation-driven inter-viewpoint mixer
Neural radiance fields (NeRF) show great success in novel-view synthesis. However, in real-
world scenes, recovering high-quality details from the source images is still challenging for …
world scenes, recovering high-quality details from the source images is still challenging for …
A cluster-then-label semi-supervised learning approach for pathology image classification
Completely labeled pathology datasets are often challenging and time-consuming to obtain.
Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points …
Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points …
Retinal layer segmentation of macular OCT images using boundary classification
Optical coherence tomography (OCT) has proven to be an essential imaging modality for
ophthalmology and is proving to be very important in neurology. OCT enables high …
ophthalmology and is proving to be very important in neurology. OCT enables high …