Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis
Abstract Colorectal cancer (CRC) is the second most common cause of cancer-related mortality worldwide, underscoring the necessity for computer-aided diagnosis (CADx) systems that are interpretable, accurate, and robust. This study presents a practical CADx system that combines Vision Transformers (...
Saved in:
| Main Authors: | Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01826-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On clean hyperrings
by: Taybeh Amouzegar, et al.
Published: (2015-06-01) -
Velocity Profile Geometries and Granular Temperature Distributions in Very Dense Granular Flows
by: Yan Li, et al.
Published: (2024-01-01) -
The connection of hyper lattice implication algebras and related hyper algebras
by: Shokoofeh Ghorbani
Published: (2016-12-01) -
On quotient clean hyperring
by: S. Ostadhadi-Dehkord
Published: (2015-12-01) -
Hyper JK-algebras
by: Mohammad Ali Hashemi
Published: (2023-12-01)