Deep Learning Insights into the Dynamic Effects of Photodynamic Therapy on Cancer Cells

• Main Authors: Md. Atiqur Rahman (Author), Feihong Yan (Author), Ruiyuan Li (Author), Yu Wang (Author), Lu Huang (Author), Rongcheng Han (Author), Yuqiang Jiang (Author)
• Format: Book
• Published: MDPI AG, 2024-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Photodynamic therapy (PDT) shows promise in tumor treatment, particularly when combined with nanotechnology. This study examines the impact of deep learning, particularly the Cellpose algorithm, on the comprehension of cancer cell responses to PDT. The Cellpose algorithm enables robust morphological...