ID-IRC : 2306050784
ESSAF FIRDAOUS
Post doctorant
Spécialité : Informatique
Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Domaine d’intérêt :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA
Les publications :
Review on Deep Learning Methods Used for Computer-aided Lung Cancer Detection and Diagnosis, Firdaous Essaf, Li Yujian, Seybou Sakho, Mesmin J. Mbyamm Kiki (Ei Compendex and Scopus)
ACAI 2019 Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, December 2019 Pages 104–111 Published
An improved lung parenchyma segmentation using the maximum inter-class variance method (OTSU): Firdaous Essaf, Li Yujian, Seybou Sakho, Pius Kwao Gadosey and Ting Zhang (Ei Compendex and Scopus)
International Conference on Computing and Artificial Intelligence (ICCAI 2020), ACM Conference Proceedings (ISBN: 978-1-4503-7708-9): Published
Improved Convolutional Neural Network for Lung Cancer Detection: Firdaous Essaf, Li Yujian, Seybou Sakho, Pius Kwao Gadosey (Ei Compendex and Scopus)
2020 International Conference on Computing, Networks and Internet of Things (CNIOT 2020) (ISBN: 978-1-4503-7771-3) Published
SD-UNet: Stripping down U-Net for Segmentation of Biomedical Images on Platforms with Low Computational Budgets, Pius Kwo Gadosey, Li Yujian, Enock Adjei Agyekum, Ting Zhang, Zhaoying Liu, Peter T.Yamak and Firdaous ESSAF (SCI)
Diagnostics 2020, 10(2), 110 ; Published