A SYNOPSIS OF MACHINE AND DEEP LEARNING IN MEDICAL PHYSICS AND RADIOLOGY

Emam Z. A. A., ADA E.

JOURNAL OF BASIC AND CLINICAL HEALTH SCIENCES, cilt.6, sa.3, ss.946-957, 2022 (ESCI) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 6 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.30621/jbachs.960154
  • Dergi Adı: JOURNAL OF BASIC AND CLINICAL HEALTH SCIENCES
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.946-957
  • Anahtar Kelimeler: deep learning, machine learning, radiology, radiation oncology, medical physics
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Machine learning (ML) and deep learning (DL) techniques introduced within the fields of medical physics, radiology, and radiation oncology (RO) have come a long way in the past few years. A great many applications have proven to be an efficacious automated diagnosis and radiotherapy system. This paper outlines DL's general concepts and principles, key computational methods, and resources, as well as the implementation of automated models in radiology and RO research. In addition, the potential challenges and solutions of DL technology are also discussed.