Skin cancer detection using effective optical parameters and the classification and regression tree algorithm: A novel framework

  • Thanh Truc Nguyen, Thi-Thu-Hien Pham
  • Thanh Truc Nguyen, Thi-Thu-Hien Pham*
  • Duc Minh Nguyen Huu
  • Thanh-Hai Le
  • Quoc-Hung Phan
Từ khóa: classification and regression tree algorithm, human skin cancer, Stokes-Mueller matrix formalism

Tóm tắt

Early detection of skin cancer matters because diagnosis, prognosis and treatment plan differ for each skin cancer type at their stages. Medical imaging taking the advantages of the non-invasive and non-ionizing polarized light is emerging as a tool for the development of screening and diagnotic tests...

Tác giả

Thanh Truc Nguyen, Thi-Thu-Hien Pham

School of Biomedical Engineering, International University, Vietnam National University Ho Chi Minh City, Quarter 6, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam

Thanh Truc Nguyen, Thi-Thu-Hien Pham*

 Vietnam National University Ho Chi Minh City, Quarter 6, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam

Duc Minh Nguyen Huu

Faculty of Traditional Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang, Ward 11, District 5, Ho Chi Minh City, Vietnam

Thanh-Hai Le

Department of Information Technology Specialization, FPT University, Lot E2a-7, Road D1 Hi-Tech Park, Long Thanh My Ward, District 9, Ho Chi Minh City, Vietnam

Quoc-Hung Phan

Mechanical Engineering Department, National United University, 2, Lienda, Miaoli, Taiwan

điểm /   đánh giá
Phát hành ngày
2023-03-20
Chuyên mục
LIFE SCIENCES