A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI

Autor: Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui

Publikováno v: IET Image Processing, Vol 15, Iss 9, Pp 1845-1868 (2021)

Abstract The right ventricular assessment is crucial to heart disease diagnosis. Unfortunately, its segmentation is quite challenging due to its intricate shape, ill‐defined thin edges, large variability among patients, and pathologies. Besides, it

Externí odkaz: https://doaj.org/article/88708349701147a894af2565b18452f4

Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation

Autor: Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui

Publikováno v: Computerized Medical Imaging and Graphics. 104:102168

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::acd796ac2b0c32c582bd4cdf4602776a
https://doi.org/10.1016/j.compmedimag.2022.102168

Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation

Autor: Rachida Saouli, Narjes Ben Ameur, Mohamed Akil, Asma Ammari, Ramzi Mahmoudi, Momahed Hedi Bedoui, Badii Hmida

Publikováno v: IET Image Processing
IET Image Processing, Institution of Engineering and Technology, 2020, 14 (3), pp.506-517. ⟨10.1049/iet-ipr.2018.6379⟩

Magnetic resonance imaging (MRI) has emerged as the golden reference for cardiac examination. This modality allows the assessment of human cardiovascular morphology, functioning, and perfusion. Although a couple of challenging issues, such as the car

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6aaa2315ec3f5208d9f6d6aaf9a2faf
https://doi.org/10.1049/iet-ipr.2018.6379

Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences

Autor: Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui

Publikováno v: 2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27d9b44ab3476324c196176b4f42f18a
https://doi.org/10.1109/aiccsa53542.2021.9686842

Accuracy Assessment of a Deep-Learning Based Segmentation Tool Over Right Ventricle Short-Axis Slices

Autor: Ramzi Mahmoudi, Mohamed Hedi Bedoui, Asma Ammari, Badii Hmida, Rachida Saouli

Publikováno v: Digital Health in Focus of Predictive, Preventive and Personalised Medicine ISBN: 9783030498146
Digital Health in Focus of Predictive, Preventive and Personalised Medicine
Digital Health in Focus of Predictive, Preventive and Personalised Medicine, pp.121-128, 2020, ⟨10.1007/978-3-030-49815-3_14⟩

International audience; The right ventricle (RV) is the largest heart cavity playing a vital role in the cardiac cycle and function. However, to assess its function in cardiac magnetic resonance imaging (CMRI), the segmentation is an essential but ve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29b667076fcc46470b3a17c4e43c86d
https://doi.org/10.1007/978-3-030-49815-3_14