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Journal of Gynecologic Oncology
|
June 17, 2022
Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis
Takayuki Takahashi, Hikaru Matsuoka, Rieko Sakurai, et al.
Scientific Reports
|
April 26, 2017
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach
Yoichiro Yamamoto, Akira Saito, Ayako Tateishi, et al.
Scientific Reports
|
January 18, 2022
A data-driven ultrasound approach discriminates pathological high grade prostate cancer
Jun Akatsuka, Yasushi Numata, Hiromu Morikawa, et al.
Clinical Medicine Insights. Oncology
|
October 1, 2025
A Systematic Review of the Application of Artificial Intelligence in Colposcopy: Diagnostic Accuracy for Cervical Intraepithelial Neoplasia and Cervical Cancer
Takayuki Takahashi, Yusuke Kobayashi, Rieko Sakurai, et al.
Pancreas
|
December 21, 2023
Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment
Ruri Yamaguchi, Hiromu Morikawa, Jun Akatsuka, et al.
Journal of Nippon Medical School = Nippon Ika Daigaku Zasshi
|
November 6, 2024
The Current Status of Comprehensive Genomic Profiling in the Management of Metastatic Castration-Resistant Prostate Cancer: A Study from a Cooperative Hospital for Cancer Genomic Medicine in Japan
Jun Akatsuka, Go Kimura, Mami Takadate, et al.
Current Oncology (Toronto, Ont.)
|
August 27, 2025
Impact of Surgical Margin Control in Index Tumors on Prognosis After Radical Prostatectomy: A Focus on Zonal Origin
Jun Akatsuka, Yoshihiko Ogata, Kotaro Obayashi, et al.
Biomolecules
|
November 2, 2019
Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches
Jun Akatsuka, Yoichiro Yamamoto, Tetsuro Sekine, et al.
Current Oncology (Toronto, Ont.)
|
November 26, 2024
Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction
Hayato Takeda, Jun Akatsuka, Tomonari Kiriyama, et al.
Nature Communications
|
December 20, 2019
Automated acquisition of explainable knowledge from unannotated histopathology images
Yoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, et al.
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Search research articles
Search
Showing results (21-30 of 32) with videos related to
Sort By:
Page
of 4
Journal of Gynecologic Oncology
|
June 17, 2022
Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis
Takayuki Takahashi, Hikaru Matsuoka, Rieko Sakurai, et al.
Scientific Reports
|
April 26, 2017
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach
Yoichiro Yamamoto, Akira Saito, Ayako Tateishi, et al.
Scientific Reports
|
January 18, 2022
A data-driven ultrasound approach discriminates pathological high grade prostate cancer
Jun Akatsuka, Yasushi Numata, Hiromu Morikawa, et al.
Clinical Medicine Insights. Oncology
|
October 1, 2025
A Systematic Review of the Application of Artificial Intelligence in Colposcopy: Diagnostic Accuracy for Cervical Intraepithelial Neoplasia and Cervical Cancer
Takayuki Takahashi, Yusuke Kobayashi, Rieko Sakurai, et al.
Pancreas
|
December 21, 2023
Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment
Ruri Yamaguchi, Hiromu Morikawa, Jun Akatsuka, et al.
Journal of Nippon Medical School = Nippon Ika Daigaku Zasshi
|
November 6, 2024
The Current Status of Comprehensive Genomic Profiling in the Management of Metastatic Castration-Resistant Prostate Cancer: A Study from a Cooperative Hospital for Cancer Genomic Medicine in Japan
Jun Akatsuka, Go Kimura, Mami Takadate, et al.
Current Oncology (Toronto, Ont.)
|
August 27, 2025
Impact of Surgical Margin Control in Index Tumors on Prognosis After Radical Prostatectomy: A Focus on Zonal Origin
Jun Akatsuka, Yoshihiko Ogata, Kotaro Obayashi, et al.
Biomolecules
|
November 2, 2019
Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches
Jun Akatsuka, Yoichiro Yamamoto, Tetsuro Sekine, et al.
Current Oncology (Toronto, Ont.)
|
November 26, 2024
Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction
Hayato Takeda, Jun Akatsuka, Tomonari Kiriyama, et al.
Nature Communications
|
December 20, 2019
Automated acquisition of explainable knowledge from unannotated histopathology images
Yoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, et al.
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