TY  - GEN
AU  - Thurnhofer-Hemsi, Karl
AU  - López-Rubio, Ezequiel
AU  - Domínguez, Enrique
AU  - Elizondo, David A.
PY  - 2021
UR  - http://hdl.handle.net/20.500.12105/18430
AB  - Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification is an essential task to...
LA  - spa
PB  - Institute of Electrical and Electronics Engineers (IEEE)
KW  - Image processing
KW  - Deep learning
KW  - Classification
KW  - Skin lesion
KW  - Melanoma
KW  - Convolutional neural networks
KW  - Skin cancer
KW  - Procesamiento de imagen asistido por computador
KW  - Aprendizaje profundo
KW  - Clasificación
KW  - Lesiones por desenguantamiento
KW  - Red nerviosa
KW  - Neoplasias cutáneas
KW  - Melanoma
KW  - Skin Neoplasms
KW  - Neural Networks (Computer)
KW  - Skin Diseases
KW  - Hypersensitivity
KW  - Humans
KW  - Melanocytes
KW  - Probability
KW  - Epidermis
KW  - Image Processing, Computer-Assisted
KW  - Classification
KW  - Skin Diseases
TI  - Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting
TY  - review article
ER  -