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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2023
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Materias: | |
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 |
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