Objective assessment of psoriasis erythema for PASI scoring.

Autor: Ahmad Fadzil, M. H.¹ (AUTHOR) satu.karki@tut.fi, Ihtatho, Dani¹ (AUTHOR), Mohd Affandi, Azura² (AUTHOR), Hussein, S. H.² (AUTHOR)

Publikováno v: Journal of Medical Engineering & Technology. Nov2009, Vol. 33 Issue 7, p516-524. 9p. 10 Color Photographs, 1 Diagram, 4 Charts, 5 Graphs.

Thickness Characterization of 3D Skin Surface Images Using Reference Line Construction Approach.

Autor: Ahmad Fadzil, M. H., Fitriyah, Hurriyatul, Prakasa, Esa, Nugroho, Hermawan, Hussein, S. H., Mohd. Affandi, Azura

Publikováno v: Visual Informatics: Bridging Research & Practice; 2009, p448-454, 7p

Modeling psoriasis lesion colour for PASI erythema scoring.

Autor: Ahmad Fadzil, M. H., Ihtatho, Dani

Publikováno v: 2008 International Symposium on Information Technology; 2008, p1-6, 6p

Objective assessment of psoriasis lesion thickness for PASI scoring using 3D digital imaging

Autor: Ahmad Fadzil, M. H., Hurriyatul Fitriyah, Prakasa, E., Nugroho, H., Hussein, S. H., Affandi, A. M.

Publikováno v: Scopus-Elsevier

Psoriasis is a chronic inflammatory skin condition which affects 2-3% of population around the world. Psoriasis Area and Severity Index (PASI) is a gold standard to assess psoriasis severity as well as the treatment efficacy. Although a gold standard

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http://www.scopus.com/inward/record.url?eid=2-s2.0-78651523506&partnerID=MN8TOARS

Analysis of retinal fundus images for grading of diabetic retinopathy severity.

Autor: Ahmad Fadzil MH; Centre for Intelligent Signal and Imaging Research, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, Malaysia., Izhar LI, Nugroho H, Nugroho HA

Publikováno v: Medical & biological engineering & computing [Med Biol Eng Comput] 2011 Jun; Vol. 49 (6), pp. 693-700. Date of Electronic Publication: 2011 Jan 27.