The pleural thickening approximation from thoracic CT scans

Author:

Brahim WaelORCID,Betrouni Nacim,Mestiri Makram,Hamrouni Kamel

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference21 articles.

1. Association TNEM (2016) The DICOM standard the national electrical manufacturers association

2. Brahim W, Mestiri M, Betrouni N, Hamrouni K (2016) Semi-automated rib cage segmentation in ct images for mesothelioma detection. In: 2016 International image processing, applications and systems (IPAS) pp 5-7, Novembre, Hamamet, Tunisie

3. Brahim W, Mestiri M, Betrouni N, Hamrouni K (2017) Malignant pleural mesothelioma segmentation from thoracic ct scans. In: The 3rd international conference on advanced technologies for signal and image processing ATSIP pp 22-24, Mai, Monastir, Tunisie

4. Byrne N (2003) Modified recist criteria for assessment of response in malignant pleural mesothelioma. Oxford Journals 15(2):257–260

5. on Cancer AJC (2010) Malignant mesothelioma. AJCC Cancer Staging Manual Springer 7(2010):271–274

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