Early diagnosis of skin oncologic diseases using artificial intelligence technologies
The last decade has seen significant progress in computer-aided image analysis and recognition, with modern computer-aided diagnostic algorithms not only catching up with, but in many aspects surpassing human abilities. At the heart of this breakthrough is the development of deep convolutional neura...
Saved in:
Main Authors: | Simon О. Samokhin (Author), Alexander V. Patrushev (Author), Yulia I. Akaeva (Author), Sergei A. Parfenov (Author), Gennadii G. Kutelev (Author) |
---|---|
Format: | Book |
Published: |
State Scientific Center of Dermatovenereology and Cosmetology,
2024-03-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence applications in pediatric oncology diagnosis
by: Yuhan Yang, et al.
Published: (2023) -
Research progress of artificial intelligence in the diagnosis of skin tumors
by: Lulu NIU, et al.
Published: (2023) -
Broadening the scope of artificial intelligence in oncology
by: Revathi Ravella, et al.
Published: (2023) -
Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis
by: Oscar Zaar, et al.
Published: (2020) -
Artificial Intelligence in Oncology Drug Discovery and Development
Published: (2020)