Cargando…
Exploring Radiomics for Classification of Supraglottic Tumors: A Pilot Study in a Tertiary Care Center
Accurate classification of laryngeal cancer is a critical step for diagnosis and appropriate treatment. Radiomics is a rapidly advancing field in medical image processing that uses various algorithms to extract many quantitative features from radiological images. The high dimensional features extrac...
Autores principales: | Rao, Divya, Koteshwara, Prakashini, Singh, Rohit, Jagannatha, Vijayananda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235219/ https://www.ncbi.nlm.nih.gov/pubmed/37275092 http://dx.doi.org/10.1007/s12070-022-03239-2 |
Ejemplares similares
-
Automated segmentation of the larynx on computed tomography images: a review
por: Rao, Divya, et al.
Publicado: (2022) -
Investigating Public Sentiment on Laryngeal Cancer in 2022 Using Machine Learning
por: Rao, Divya, et al.
Publicado: (2023) -
Association of vascular calcification of breast with carotid intima media thickness
por: Sankaran, Priya P., et al.
Publicado: (2019) -
Telltale signs of peripheral neurogenic tumors on magnetic resonance imaging
por: Kakkar, Chandan, et al.
Publicado: (2015) -
Round atelectasis
por: Kakkar, Chandan, et al.
Publicado: (2015)