Segmentation and classification of benign and malignant breast tumors via texture characterization from ultrasound images

Autor: Benaouali, Mohamed, Bentoumi, Mohamed, Touati, Menad, Taleb-Ahmed, Abdelmalik, Mimi, Malika

Publikováno v: 2022 7th International Conference on Image and Signal Processing and their Applications (ISPA)
2022 7th International Conference on Image and Signal Processing and their Applications (ISPA), May 2022, Mostaganem, Algeria. pp.1-4, ⟨10.1109/ISPA54004.2022.9786350⟩

International audience; The present paper deals with breast tumors classification from ultrasound images. The proposed procedure consists of four steps, namely preprocessing, segmentation, feature extraction and classification. To improve the quality

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbac8e50cc40b85604184055905b2b85
https://doi.org/10.1109/ispa54004.2022.9786350

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A machine learning color-based segmentation for object detection within dual X-ray baggage images.

Autor: Chouai, Mohamed, Merah, Mostefa, Sancho-GÓmez, José-Luis, Mimi, Malika

Publikováno v: ACM International Conference Proceeding Series; 3/31/2020, p1-11, 11p

Performance analysis of different segmentation methods applied to positron emission tomography image fusion

Autor: Mehidi, Abdallah, Mimi, Malika, Lapuyade-Lahorgue, Jerome

Publikováno v: International Journal of Biomedical Engineering and Technology; 2022, Vol. 40 Issue: 2 p108-129, 22p

On the Use of High-resolution Time-frequency Distribution Based on a Polynomial Compact Support Kernel for Fault Detection in a Two-level Inverter.

Autor: Seninete, Sara, Abed, Mansour, Bendiabdellah, Azeddine, Mimi, Malika, Belouchrani, Adel, Ali, Abdelaziz Ould, Eddine Cherif, Bilal Djamal

Publikováno v: Periodica Polytechnica: Electrical Engineering & Computer Science; 2020, Vol. 64 Issue 4, p352-365, 14p