Semantic Scholar Open Access 2016 317 sitasi

Machine learning approaches in medical image analysis: From detection to diagnosis

Marleen de Bruijne

Lihat Sumber DOI

Abstrak

Machine learning approaches are increasingly successful in image-based diagnosis, disease prognosis, and risk assessment. This paper highlights new research directions and discusses three main challenges related to machine learning in medical imaging: coping with variation in imaging protocols, learning from weak labels, and interpretation and evaluation of results.

Topik & Kata Kunci

Computer Science Medicine

Penulis (1)

Marleen de Bruijne

Format Sitasi

APA MLA BibTeX

Bruijne, M.d. (2016). Machine learning approaches in medical image analysis: From detection to diagnosis. https://doi.org/10.1016/j.media.2016.06.032

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.media.2016.06.032

Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Total Sitasi: 317×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.media.2016.06.032
Akses: Open Access ✓