Advancing Breast Cancer Diagnosis: Integrating Deep Transfer Learning and U-Net Segmentation for Precise Classification and Delineation of Ultrasound Images DOI Creative Commons
Divine Senanu Ametefe, Dah John,

Abdulmalik Adozuka Aliu

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105047 - 105047

Опубликована: Апрель 1, 2025

Язык: Английский

Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy DOI Creative Commons
Hossein Azadinejad, Mohammad Farhadi Rad, Ahmad Shariftabrizi

и другие.

Diagnostics, Год журнала: 2025, Номер 15(3), С. 397 - 397

Опубликована: Фев. 6, 2025

Radioimmunotherapy (RIT) is a novel cancer treatment that combines radiotherapy and immunotherapy to precisely target tumor antigens using monoclonal antibodies conjugated with radioactive isotopes. This approach offers personalized, systemic, durable treatment, making it effective in cancers resistant conventional therapies. Advances artificial intelligence (AI) present opportunities enhance RIT by improving precision, efficiency, personalization. AI plays critical role patient selection, planning, dosimetry, response assessment, while also contributing drug design classification. review explores the integration of into RIT, emphasizing its potential optimize entire process advance personalized care.

Язык: Английский

Процитировано

3

Advancing Breast Cancer Diagnosis: Integrating Deep Transfer Learning and U-Net Segmentation for Precise Classification and Delineation of Ultrasound Images DOI Creative Commons
Divine Senanu Ametefe, Dah John,

Abdulmalik Adozuka Aliu

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105047 - 105047

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0