Lesion border detection in dermoscopy images

ME Celebi, H Iyatomi, G Schaefer… - … medical imaging and …, 2009 - Elsevier
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 …

Multimodal video indexing: A review of the state-of-the-art

CGM Snoek, M Worring - Multimedia tools and applications, 2005 - Springer
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 …

Deep filter banks for texture recognition and segmentation

M Cimpoi, S Maji, A Vedaldi - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
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 …

Describing textures in the wild

M Cimpoi, S Maji, I Kokkinos… - Proceedings of the …, 2014 - openaccess.thecvf.com
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 …

Visual tracking: An experimental survey

AWM Smeulders, DM Chu, R Cucchiara… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
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 …

Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles

X Hu, L Chen, B Tang, D Cao, H He - Mechanical systems and signal …, 2018 - Elsevier
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 …

A deep learning method for change detection in synthetic aperture radar images

Y Li, C Peng, Y Chen, L Jiao, L Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] A cluster-then-label semi-supervised learning approach for pathology image classification

M Peikari, S Salama, S Nofech-Mozes, AL Martel - Scientific reports, 2018 - nature.com
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 …

Retinal layer segmentation of macular OCT images using boundary classification

A Lang, A Carass, M Hauser, ES Sotirchos… - Biomedical optics …, 2013 - opg.optica.org
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 …

Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image …

A Dimitrov, M Golparvar-Fard - Advanced Engineering Informatics, 2014 - Elsevier
Automatically monitoring construction progress or generating Building Information Models
using site images collections–beyond point cloud data–requires semantic information such …