Zobrazeno 1 - 10
of 329
pro vyhledávání: '"Paul Fieguth"'
Publikováno v:
IEEE Access, Vol 12, Pp 97067-97084 (2024)
Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from preceding frames is used in segmenting the current frame. In particular,
Externí odkaz:
https://doaj.org/article/b6390d2506e047a8a5d2a97ca9ad2b8f
Autor:
Marian Boktor, James E. D. Tweel, Benjamin R. Ecclestone, Jennifer Ai Ye, Paul Fieguth, Parsin Haji Reza
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Accurate and fast histological staining is crucial in histopathology, impacting diagnostic precision and reliability. Traditional staining methods are time-consuming and subjective, causing delays in diagnosis. Digital pathology plays a vita
Externí odkaz:
https://doaj.org/article/4e99da1d51e848b8b94d7de984c1d2fe
Publikováno v:
IEEE Access, Vol 11, Pp 26048-26058 (2023)
Machine comprehension of visual information from images and videos by neural networks suffers from two limitations: (1) the computational and inference gap in vision and language to accurately determine which object a given agent acts on and then to
Externí odkaz:
https://doaj.org/article/434cd6b7845c4d7eb5dfd009d6db4a7e
Autor:
Marian Boktor, Benjamin R. Ecclestone, Vlad Pekar, Deepak Dinakaran, John R. Mackey, Paul Fieguth, Parsin Haji Reza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Histopathological visualizations are a pillar of modern medicine and biological research. Surgical oncology relies exclusively on post-operative histology to determine definitive surgical success and guide adjuvant treatments. The current hi
Externí odkaz:
https://doaj.org/article/7de6545c28f64625900d5434bd8288f7
Autor:
Zohreh Hosseinaee, Nicholas Pellegrino, Nima Abbasi, Tara Amiri, James A. Tummon Simmons, Paul Fieguth, Parsin Haji Reza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Many important eye diseases as well as systemic disorders manifest themselves in the retina. Retinal imaging technologies are rapidly growing and can provide ever-increasing amounts of information about the structure, function, and molecular
Externí odkaz:
https://doaj.org/article/a92a501384014ba4a4be2f9f06f06f9b
Publikováno v:
PeerJ Computer Science, Vol 8, p e951 (2022)
In this paper we investigate a variety of deep learning strategies for solving inverse problems. We classify existing deep learning solutions for inverse problems into three categories of Direct Mapping, Data Consistency Optimizer, and Deep Regulariz
Externí odkaz:
https://doaj.org/article/3a288064c6964766bd5a81c803736721
Autor:
Zohreh Hosseinaee, Nicholas Pellegrino, Nima Abbasi, Tara Amiri, James A. Tummon Simmons, Paul Fieguth, Parsin Haji Reza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/c93c12b74d3d46cdad638967501b95cc
Publikováno v:
IEEE Access, Vol 5, Pp 366-378 (2017)
The use of Markov random fields (MRFs) is a common approach for performing image segmentation, where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference. These local MR
Externí odkaz:
https://doaj.org/article/0cc590313a5547fc83fd069f506cca5d
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e82722 (2013)
Spectral clustering methods have been shown to be effective for image segmentation. Unfortunately, the presence of image noise as well as textural characteristics can have a significant negative effect on the segmentation performance. To accommodate
Externí odkaz:
https://doaj.org/article/8b5274e77f464002886f4cf10fb5c9ed
Publikováno v:
Remote Sensing, Vol 8, Iss 6, p 480 (2016)
A novel method based on the curvelet transform and active contour method to automatically detect the ice edge in Synthetic Aperture Radar (SAR) imagery is proposed. The method utilizes the location of high curvelet coefficients to determine regions i
Externí odkaz:
https://doaj.org/article/8fc598cd451f4cb4b2557482566596e1