Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Habibollah Danyali"'
Subject-specific atlas for automatic brain tissue segmentation of neonatal magnetic resonance images
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Developing advanced systems for 3D brain tissue segmentation from neonatal magnetic resonance (MR) images is vital for newborn structural analysis. However, automatic segmentation of neonatal brain tissues is challenging due to smaller head
Externí odkaz:
https://doaj.org/article/27e9985560c541d6acb4fe1ddca42ff3
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-23 (2023)
Abstract Background Wireless capsule endoscopy (WCE) is a patient-friendly and non-invasive technology that scans the whole of the gastrointestinal tract, including difficult-to-access regions like the small bowel. Major drawback of this technology i
Externí odkaz:
https://doaj.org/article/b1f5c3d9630d4193bc4cb431e62f196d
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 5, Pp 579-591 (2022)
The classification of hyperspectral images is one of the most popular fields in remote sensing applications. It should be noted that spectral and spatial features have critical roles in this research area. This paper proposes a method based on spatia
Externí odkaz:
https://doaj.org/article/53817fe279db43618e4ef6e4dbe6c2b7
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 6, Iss 4, Pp 426-439 (2021)
Abstract Early diagnosis of breast cancer, the most common disease among women around the world, increases the chance of treatment and is highly important. Nuclear atypia grading in histopathological images plays an important role in the final diagno
Externí odkaz:
https://doaj.org/article/b41f54d631924deb839c3c22f8f18f36
Publikováno v:
ETRI Journal, Vol 43, Iss 1, Pp 109-119 (2020)
Self‐recovery is a tamper‐detection and image recovery methods based on data hiding. It generates two types of data and embeds them into the original image: authentication data for tamper detection and reference data for image recovery. In this p
Externí odkaz:
https://doaj.org/article/21473f36e224447bac618c066bee32e3
Publikováno v:
Journal of Medical Signals and Sensors, Vol 5, Iss 1, Pp 21-29 (2015)
Ultrasound imaging is a popular and noninvasive tool frequently used in the diagnoses of liver diseases. A system to characterize normal, fatty and heterogeneous liver, using textural analysis of liver Ultrasound images, images, is proposed in this p
Externí odkaz:
https://doaj.org/article/9f5118a112344d33804d4a8653555444
Publikováno v:
Journal of Medical Signals and Sensors, Vol 4, Iss 2, Pp 139-149 (2014)
Histopathology slides are one of the most applicable resources for pathology studies. As observation of these kinds of slides even by skillful pathologists is a tedious and time-consuming activity, computerizing this procedure aids the experts to hav
Externí odkaz:
https://doaj.org/article/b78772ae934241fba1c12372cb07ac1b
Fully spatial and SNR scalable, SPIHT-based image coding for transmission over heterogenous networks
Autor:
Habibollah Danyali
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 2 (2003)
This paper presents a fully scalable image coding scheme based on the set partitioning in hierarchical trees (SPIHT) algorithm. The proposed algorithm, called fully scalable SPIHT (FS-SPIHT), adds the spatial scalability feature to the SPIHT algorith
Externí odkaz:
https://doaj.org/article/73fe8e52dd634a7882a02cdb39254d7d
Publikováno v:
Journal of Spatial Science. :1-21
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:4578-4588