The Impact of the Observation of Predictive Features on the Diagnosis of Pigmented Skin Lesions and the therapeutic decision

Y. Wazaefi 1 Arthur Tenenhaus 2 Alex Nkengne 3 Jean-Francois Horn 4 Alain Giron 4 Sébastien Paris 1 Bernard Fertil 1
1 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
2 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
3 Johnson & Johnson
4 LIF - Laboratoire d'Imagerie Fonctionnelle
Abstract : In this paper, we study the relationship between diagnosis and therapeutic decision on the one hand and the observations of the presence of ABCD features and some additional dermoscopic features of pigmented skin tumors on the other hand. The image database was composed of 227 images of pigmented skin lesions. Five senior dermatologists were asked for their expertise about these images. They gave their opinion about the presence of ABCD and dermoscopic features, their diagnosis and their therapeutic decision. The performances of dermatologists were evaluated in terms of their ability to diagnose melanoma by building statistical decision models from their observations of predictive features. Models allowed observing to what extent dermatologists ground their diagnosis on the malignancy features they detected. It appeared that a high variability of behavior among dermatologists is observed, concerning both the detection of features and the role of features for the elaboration of diagnosis.
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Y. Wazaefi, Arthur Tenenhaus, Alex Nkengne, Jean-Francois Horn, Alain Giron, et al.. The Impact of the Observation of Predictive Features on the Diagnosis of Pigmented Skin Lesions and the therapeutic decision. DMIN'12, Jul 2012, Nevada, United States. CD-ROM Proceedings (4 p.). ⟨hal-00756094⟩

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