[HTML] spandidos-publications.com

[HTML][HTML] Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - … and clinical oncology, 2019 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …
被引用次数：48 相关文章
[PDF] semanticscholar.org

[PDF][PDF] Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y MIYAGI, K TAKEHARA… - MOLECULAR AND …, 2019 - pdfs.semanticscholar.org
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - Molecular and Clinical …, 2019 - search.proquest.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y MIYAGI, K TAKEHARA… - MOLECULAR AND …, 2019 - ingentaconnect.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …
[HTML] nih.gov

[HTML][HTML] Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - Molecular and Clinical Oncology, 2019 - ncbi.nlm.nih.gov
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - Molecular and clinical …, 2019 - pubmed.ncbi.nlm.nih.gov
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.

Y Miyagi, K Takehara, T Miyake - Molecular & Clinical …, 2019 - search.ebscohost.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.

Y Miyagi, K Takehara, T Miyake - Molecular and Clinical Oncology, 2019 - europepmc.org
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.

Y Miyagi, K Takehara, T Miyake - Molecular and Clinical Oncology, 2019 - go.gale.com
With current advancements in computer science, artificial intelligence (AI) has made
remarkable progress recently. The hypothetical moment in time when AI becomes so …