Treatment response prediction of neoadjuvant chemotherapy for rectal cancer by deep learning of colonoscopy images

In current clinical practice, several treatment methods, including neoadjuvant therapy, are being developed to improve overall survival or local recurrence rates for locally advanced rectal cancer. The response to neoadjuvant therapy is usually evaluated using imaging data collected before and after...

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Detalles Bibliográficos
Autores principales: Kato, Shinya, Miyoshi, Norikatsu, Fujino, Shiki, Minami, Soichiro, Nagae, Ayumi, Hayashi, Rie, Sekido, Yuki, Hata, Tsuyoshi, Hamabe, Atsushi, Ogino, Takayuki, Tei, Mitsuyoshi, Kagawa, Yoshinori, Takahashi, Hidekazu, Uemura, Mamoru, Yamamoto, Hirofumi, Doki, Yuichiro, Eguchi, Hidetoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551859/
https://www.ncbi.nlm.nih.gov/pubmed/37809043
http://dx.doi.org/10.3892/ol.2023.14062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551859/
https://www.ncbi.nlm.nih.gov/pubmed/37809043
http://dx.doi.org/10.3892/ol.2023.14062

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