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

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …
被引用次数：47 相关文章

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - pubmed.ncbi.nlm.nih.gov
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …
[PDF] semanticscholar.org

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

Y MIYAGI, K TAKEHARA, Y NAGAYASU, T MIYAKE - pdfs.semanticscholar.org
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

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

Y Miyagi, K Takehara, Y Nagayasu, T Miyake - Oncology Letters, 2019 - europepmc.org
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …
[HTML] spandidos-publications.com

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

Y Miyagi, K Takehara… - Oncology …, 2020 - … .spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …
[PDF] researchgate.net

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

Y MIYAGI, K TAKEHARA, Y NAGAYASU, T MIYAKE - researchgate.net
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intel‑ligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - search.proquest.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

Y MIYAGI, K TAKEHARA, Y NAGAYASU, T MIYAKE - ingentaconnect.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

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

Y Miyagi, K Takehara, Y Nagayasu, T Miyake - Oncology Letters, 2020 - go.gale.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

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

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - search.ebscohost.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …