[HTML][HTML] Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and xception models

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - mdpi.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

R Ogundokun, A Li, R Babatunde… - Bioengineering …, 2023 - europepmc.org
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

[PDF][PDF] Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models. Bioengineering 2023 …

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - 2023 - pdfs.semanticscholar.org
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

RO Ogundokun, A Li, RS Babatunde… - …, 2023 - search.proquest.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and Xception models

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - epubl.ktu.edu
Abstract [eng] One of the most promising research initiatives in the healthcare field is
focused on the rising incidence of skin cancer worldwide and improving early discovery …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models.

RO Ogundokun, A Li, RS Babatunde… - Bioengineering …, 2023 - search.ebscohost.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - agris.fao.org
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

[HTML][HTML] Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

RO Ogundokun, A Li, RS Babatunde… - …, 2023 - ncbi.nlm.nih.gov
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

RO Ogundokun, A Li, RS Babatunde… - Bioengineering …, 2023 - pubmed.ncbi.nlm.nih.gov
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models.

RO Ogundokun, A Li, RS Babatunde… - Bioengineering …, 2023 - europepmc.org
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …