CUNet-CLSTM: A Novel Fusion of CUNet and CLSTM for Superior Liver Cancer Detection in CT Scans
Liver cancer remains one of the main causes of mortality worldwide, requiring advancements in diagnostic systems for early detection and improved patient outcomes. Computed tomography (CT) scans are crucial in the diagnosis of liver cancer, providing detailed images for medical analysis. Despite the...
Saved in:
| Main Authors: | K. Vijayaprabakaran, Padmanaban Ramalingam, Rajakumar Ramalingam, A. Ilavendhan, R. Vedhapriyavadhana |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10962210/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv CNN and BiLSTM) and Mean Teacher Collaborative Learning
by: Xiaozong Qiu, et al.
Published: (2025-05-01) -
BERT-CLSTM model for the classification of Moroccan commercial courts verdicts
by: Taoufiq El Moussaoui, et al.
Published: (2023-09-01) -
Enhancing lung disease diagnosis with deep-learning-based CT scan image segmentation
by: Rima Tri Wahyuningrum, et al.
Published: (2025-09-01) -
Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework
by: Honghua Wang, et al.
Published: (2025-01-01) -
Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies.
by: Jun Qin, et al.
Published: (2025-01-01)