Class-Aware Image Search for Interpretable Cancer Identification
In recent times, the performance of computer-aided diagnosis systems in classification of malignancies has significantly improved. Search and retrieval methods are specifically important as they assist physicians in making the right diagnosis in medical imaging owing to their ability of obtaining si...
Main Authors: | Arash Ebrahimian, Hossein Mohammadi, Morteza Babaie, Nima Maftoon, H. R. Tizhoosh |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9238034/ |
Similar Items
-
On image search in histopathology
by: H.R. Tizhoosh, et al.
Published: (2024-12-01) -
Interactive case vignettes utilizing simulated pathologist-clinician encounters with whole slide imaging and video tutorials of whole slide scans improves student understanding of disease processes
by: Adam J Horn, et al.
Published: (2012-01-01) -
Virtual microscopy: The future of pathological diagnostics, dental education, and telepathology
by: R M Vatchala Rani, et al.
Published: (2021-01-01) -
Precise identification of cell and tissue features important for histopathologic diagnosis by a whole slide imaging system
by: Thomas W Bauer, et al.
Published: (2020-01-01) -
RecutClub.com: An open source, whole slide image-based pathology education system
by: Paul A Christensen, et al.
Published: (2017-01-01)