FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection

Autor: Gutwein, Simon, Kampel, Martin, Taschner-Mandl, Sabine, Licandro, Roxane

Publikováno v: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Pages 23-33

Detecting genetic aberrations is crucial in cancer diagnosis, typically through fluorescence in situ hybridization (FISH). However, existing FISH image classification methods face challenges due to signal variability, the need for costly manual annot

Externí odkaz: http://arxiv.org/abs/2411.01025

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Chromosomal aberration detection in Iraqi children with autism

Autor: Al-Awadi, Baraa Qassim Hadi, Al-Aadhami, Mohammad Abdul Wahab Shaker, Baqer, Noor Nihad

Publikováno v: In Human Gene December 2023 38

Aberration detection of pertussis from the Mazandaran province, Iran, from 2012 to 2018: Application of discrete wavelet transform

Autor: Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie-Naieni

Publikováno v: Journal of Acute Disease, Vol 9, Iss 3, Pp 114-120 (2020)

Objective: To define the level of alarm threshold for pertussis aberrations and to detect the aberrations of the reported suspected cases of pertussis from the Mazandaran province in the north of Iran. Methods: The included cases were composed of the

Externí odkaz: https://doaj.org/article/bde1f680defb4ee3a7bb7e871965910d

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.