Cargando…
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS
In recent years in medical imaging technology, the advancement for medical diagnosis, the initial assessment of the ailment, and the abnormality have become challenging for radiologists. Magnetic resonance imaging is one such predominant technology used extensively for the initial evaluation of ailm...
Autores principales: | Naga Srinivasu, Parvathaneni, Balas, Valentina Emilia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356652/ https://www.ncbi.nlm.nih.gov/pubmed/34435099 http://dx.doi.org/10.7717/peerj-cs.654 |
Ejemplares similares
-
Application of improved fuzzy best worst analytic hierarchy process on renewable energy
por: Majumder, Priyanka, et al.
Publicado: (2021) -
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
por: Albahli, Saleh, et al.
Publicado: (2021) -
Deep Learning for Diagnosing and Segmenting Choroidal Neovascularization in OCT Angiography in a Large Real-World Data Set
por: Wang, Jie, et al.
Publicado: (2023) -
Self-optimizing neural network in the classification of real valued data
por: Miniak-Górecka, Alicja, et al.
Publicado: (2022) -
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
por: Hilbert, Adam, et al.
Publicado: (2020)