Effects of image quantity and image source variation on machine learning histology differential diagnosis models

• Main Authors: Elham Vali-Betts (Author), Kevin J Krause (Author), Alanna Dubrovsky (Author), Kristin Olson (Author), John Paul Graff (Author), Anupam Mitra (Author), Ananya Datta-Mitra (Author), Kenneth Beck (Author), Aristotelis Tsirigos (Author), Cynthia Loomis (Author), Antonio Galvao Neto (Author), Esther Adler (Author), Hooman H Rashidi (Author)
• Format: Book
• Published: Elsevier, 2021-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Aims: Histology, the microscopic study of normal tissues, is a crucial element of most medical curricula. Learning tools focused on histology are very important to learners who seek diagnostic competency within this important diagnostic arena. Recent developments in machine learning (ML) suggest tha...