Development of multiple AI pipelines that predict neoadjuvant chemotherapy response of breast cancer using H&E‐stained tissues

• Main Authors: Bin Shen (Author), Akira Saito (Author), Ai Ueda (Author), Koji Fujita (Author), Yui Nagamatsu (Author), Mikihiro Hashimoto (Author), Masaharu Kobayashi (Author), Aashiq H Mirza (Author), Hans Peter Graf (Author), Eric Cosatto (Author), Shoichi Hazama (Author), Hiroaki Nagano (Author), Eiichi Sato (Author), Jun Matsubayashi (Author), Toshitaka Nagao (Author), Esther Cheng (Author), Syed AF Hoda (Author), Takashi Ishikawa (Author), Masahiko Kuroda (Author)
• Format: Book
• Published: Wiley, 2023-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract In recent years, the treatment of breast cancer has advanced dramatically and neoadjuvant chemotherapy (NAC) has become a common treatment method, especially for locally advanced breast cancer. However, other than the subtype of breast cancer, no clear factor indicating sensitivity to NAC h...