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Aymen Mouelhi

Showing results (1-10 of 8) with videos related to

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Polish Journal of Pathology : Official Journal of the Polish Society of Pathologists|September 29, 2022
A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue imagesHana Rmili, Aymen Mouelhi, Basel Solaiman, et al.
Journal of Medical Engineering & Technology|September 11, 2019
Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound imagesHanene Sahli, Aymen Mouelhi, Amine Ben Slama, et al.
Computers in Biology and Medicine|December 3, 2013
A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimensAymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|March 23, 2020
A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound imagesHanene Sahli, Amine Ben Slama, Aymen Mouelhi, et al.
Computer Methods and Programs in Biomedicine|October 20, 2018
Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue imagesAymen Mouelhi, Hana Rmili, Jaouher Ben Ali, et al.
Computer Methods in Biomechanics and Biomedical Engineering|October 12, 2020
Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognitionAymen Mouelhi, Amine Ben Slama, Jihene Marrakchi, et al.
Journal of X-Ray Science and Technology|August 11, 2020
Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosisAmine Ben Slama, Hanene Sahli, Aymen Mouelhi, et al.
Artificial Intelligence in Medicine|August 5, 2017
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosisAmine Ben Slama, Aymen Mouelhi, Hanene Sahli, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Polish Journal of Pathology : Official Journal of the Polish Society of Pathologists|September 29, 2022
A novel pre-processing approach based on colour space assessment for digestive neuroendocrine tumour grading in immunohistochemical tissue imagesHana Rmili, Aymen Mouelhi, Basel Solaiman, et al.
Journal of Medical Engineering & Technology|September 11, 2019
Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound imagesHanene Sahli, Aymen Mouelhi, Amine Ben Slama, et al.
Computers in Biology and Medicine|December 3, 2013
A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimensAymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|March 23, 2020
A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound imagesHanene Sahli, Amine Ben Slama, Aymen Mouelhi, et al.
Computer Methods and Programs in Biomedicine|October 20, 2018
Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue imagesAymen Mouelhi, Hana Rmili, Jaouher Ben Ali, et al.
Computer Methods in Biomechanics and Biomedical Engineering|October 12, 2020
Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognitionAymen Mouelhi, Amine Ben Slama, Jihene Marrakchi, et al.
Journal of X-Ray Science and Technology|August 11, 2020
Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosisAmine Ben Slama, Hanene Sahli, Aymen Mouelhi, et al.
Artificial Intelligence in Medicine|August 5, 2017
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosisAmine Ben Slama, Aymen Mouelhi, Hanene Sahli, et al.
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