Models & Optimisation and Mathematical Analysis Journal
Volume 6, Numéro 1, Pages 23-27
2018-12-27

Automatic Diagnosis System For Classification, Segmentation, Detection And Tracking Of Skin Lesion Based On Deep Convolutional Neural Networks



Authors : Benyahia Samia . Meftah Boudjelal .

Abstract

This paper presents a review of the state-of-the-art convolutional neural network based deep learning techniques, used for skin lesion analysis specially the problem of Melanoma including lesion segmentation; lesion classification; and lesion detection and tracking, In recent years CNN, based methods would greatly benefit the advancement of skin lesion diagnosis and gained more popularity in this domain. This paper gives an important contribution to this research area and summaries the research being done in different tasks used in the literature for Deep learning and developing an automatic diagnostic system for skin cancer.

Keywords

deep learning ; convolutional neural networks ; classification ; segmentation ; detection. ; tracking ; review

Les articles similaires

Predictive Modeling Of Ozone Dosing In Drinking Water Treatment Plant Using Deep Learning Comparative Study Between Deep Neural Networks And Convolutional Neural Networks

Hellal Aouatef .  Djeddou Messaoud .  Loukam Imed .  A. Hameed Ibrahim .  Al Dallal Jehad .  Shawaqfah Moayyad . 
pages 69-83.

Intrusion Detection Based On Neural Networks Neural Networks In Iot

Chaima Bensaid . 
pages 29-33.

Classification Of Hate Speech Using Deep Neural Networks.

Geet D’sa Ashwin .  Illina Irina .  Fohr Dominique . 
pages 1-12.

Automatic Segmentation Approach Based Possibility Theory For The Classification Of Brain Tissues

Lamiche Chaabane .  Moussaoui Abdelouahab . 
pages 37-41.

Objective Evaluation Of The Pathological Voice Based On Deep Learning Neural Networks In An Algerian Hospital Environment

Kabache Mahraz .  Guerti Mhania . 
pages 47-51.

Formats de citation