R
Reda Kasmi
Researcher at University of Béjaïa
Publications - 12
Citations - 419
Reda Kasmi is an academic researcher from University of Béjaïa. The author has contributed to research in topics: Thresholding & Segmentation. The author has an hindex of 6, co-authored 10 publications receiving 254 citations. Previous affiliations of Reda Kasmi include University of Bouira.
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Journal ArticleDOI
Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule
Reda Kasmi,Karim Mokrani +1 more
TL;DR: Automatic ABCD scoring of dermoscopy lesions is implemented and the experimental results show that the extracted features can be used to build a promising classifier for melanoma detection.
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Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images
Jason R. Hagerty,R. Joe Stanley,Haidar Almubarak,Norsang Lama,Reda Kasmi,Peng Guo,Rhett J. Drugge,Harold S. Rabinovitz,Margaret Oliviero,William V. Stoecker +9 more
TL;DR: This paper presents an approach that combines conventional image processing with deep learning by fusing the features from the individual techniques, hypothesizing that the two techniques, with different error profiles, are synergistic.
Journal ArticleDOI
Biologically inspired skin lesion segmentation using a geodesic active contour technique.
TL;DR: Computer‐aided diagnosis of skin cancer requires accurate lesion segmentation, which must overcome noise such as hair, skin color variations, and ambient light variability.
Journal ArticleDOI
Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images.
Ravneet Kaur,Robert W. LeAnder,Nabin K. Mishra,Jason R. Hagerty,Reda Kasmi,R. J. Stanley,M. E. Celebi,William V. Stoecker +7 more
TL;DR: Algorithms employed for pigmented lesion segmentation perform poorly on dermoscopy images of basal cell carcinoma (BCC), the most common skin cancer.
Journal ArticleDOI
Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma.
Serkan Kefel,S. Pelin Kefel,Robert W. LeAnder,Ravneet Kaur,Reda Kasmi,Nabin K. Mishra,Ryan K. Rader,Justin G. Cole,Z. T. Woolsey,William V. Stoecker +9 more
TL;DR: An automatic method for detection of pink blush and semitranslucency based on smoothness and brightness is introduced and a neighborhood correction method for texture area correction is introduced.