Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Khoa Tuan, Park, Ho-min, Oh, Gaeun, Vankerschaver, Joris, De Neve, Wesley |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
by: Nguyen, Khoa Tuan, et al.
Published: (2025)
Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis
by: Ozbulak, Utku, et al.
Published: (2025)
by: Ozbulak, Utku, et al.
Published: (2025)
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
by: Won, Jong Bum, et al.
Published: (2025)
by: Won, Jong Bum, et al.
Published: (2025)
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding
by: Kang, Solha, et al.
Published: (2025)
by: Kang, Solha, et al.
Published: (2025)
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
by: Ozbulak, Utku, et al.
Published: (2025)
by: Ozbulak, Utku, et al.
Published: (2025)
One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization
by: Mousavi, Seyed Amir, et al.
Published: (2025)
by: Mousavi, Seyed Amir, et al.
Published: (2025)
Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2
by: Ozbulak, Utku, et al.
Published: (2025)
by: Ozbulak, Utku, et al.
Published: (2025)
Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models
by: Kang, Solha, et al.
Published: (2025)
by: Kang, Solha, et al.
Published: (2025)
Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2
by: Kang, Solha, et al.
Published: (2025)
by: Kang, Solha, et al.
Published: (2025)
Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability
by: Albzour, Nisreen, et al.
Published: (2026)
by: Albzour, Nisreen, et al.
Published: (2026)
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
by: Kang, Solha, et al.
Published: (2025)
by: Kang, Solha, et al.
Published: (2025)
DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification
by: Mosalpuri, Ravi, et al.
Published: (2026)
by: Mosalpuri, Ravi, et al.
Published: (2026)
AI-Assisted Cervical Cancer Screening
by: Poudel, Kanchan, et al.
Published: (2024)
by: Poudel, Kanchan, et al.
Published: (2024)
Towards Interpretable Attention Networks for Cervical Cancer Analysis
by: Wang, Ruiqi, et al.
Published: (2021)
by: Wang, Ruiqi, et al.
Published: (2021)
Interpretable Vision Transformers in Image Classification via SVDA
by: Arampatzakis, Vasileios, et al.
Published: (2026)
by: Arampatzakis, Vasileios, et al.
Published: (2026)
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer
by: Goyal, Manu, et al.
Published: (2023)
by: Goyal, Manu, et al.
Published: (2023)
AI Assisted Cervical Cancer Screening for Cytology Samples in Developing Countries
by: Panta, Love, et al.
Published: (2025)
by: Panta, Love, et al.
Published: (2025)
LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening
by: Cai, Jiangdong, et al.
Published: (2025)
by: Cai, Jiangdong, et al.
Published: (2025)
AI Guided Early Screening of Cervical Cancer
by: S I, Dharanidharan, et al.
Published: (2024)
by: S I, Dharanidharan, et al.
Published: (2024)
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
by: Hong, Jung-Ho, et al.
Published: (2025)
by: Hong, Jung-Ho, et al.
Published: (2025)
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
by: Ma, Chiyu, et al.
Published: (2024)
by: Ma, Chiyu, et al.
Published: (2024)
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
by: Gallée, Luisa, et al.
Published: (2025)
by: Gallée, Luisa, et al.
Published: (2025)
[Re] Improving Interpretation Faithfulness for Vision Transformers
by: Kurek, Izabela, et al.
Published: (2025)
by: Kurek, Izabela, et al.
Published: (2025)
WriteViT: Handwritten Text Generation with Vision Transformer
by: Nam, Dang Hoai, et al.
Published: (2025)
by: Nam, Dang Hoai, et al.
Published: (2025)
Improving Interpretation Faithfulness for Vision Transformers
by: Hu, Lijie, et al.
Published: (2023)
by: Hu, Lijie, et al.
Published: (2023)
When Tracking Fails: Analyzing Failure Modes of SAM2 for Point-Based Tracking in Surgical Videos
by: Jang, Woowon, et al.
Published: (2025)
by: Jang, Woowon, et al.
Published: (2025)
The Impact of the Single-Label Assumption in Image Recognition Benchmarking
by: Anzaku, Esla Timothy, et al.
Published: (2024)
by: Anzaku, Esla Timothy, et al.
Published: (2024)
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement
by: Anzaku, Esla Timothy, et al.
Published: (2024)
by: Anzaku, Esla Timothy, et al.
Published: (2024)
Sensitive Image Classification by Vision Transformers
by: He, Hanxian, et al.
Published: (2024)
by: He, Hanxian, et al.
Published: (2024)
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
by: Scholz, Stefan, et al.
Published: (2024)
by: Scholz, Stefan, et al.
Published: (2024)
Improved EATFormer: A Vision Transformer for Medical Image Classification
by: Shisu, Yulong, et al.
Published: (2024)
by: Shisu, Yulong, et al.
Published: (2024)
A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
by: Serna-Aguilera, Manuel, et al.
Published: (2024)
by: Serna-Aguilera, Manuel, et al.
Published: (2024)
RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness
by: Park, Junghyun, et al.
Published: (2025)
by: Park, Junghyun, et al.
Published: (2025)
Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals
by: Cohrs, Michaela, et al.
Published: (2025)
by: Cohrs, Michaela, et al.
Published: (2025)
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
by: Jo, Sehyeong, et al.
Published: (2025)
by: Jo, Sehyeong, et al.
Published: (2025)
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
by: Pham, Duc-Hai, et al.
Published: (2024)
by: Pham, Duc-Hai, et al.
Published: (2024)
Interpretability-Aware Vision Transformer
by: Qiang, Yao, et al.
Published: (2023)
by: Qiang, Yao, et al.
Published: (2023)
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
by: Nguyen, Tuan, et al.
Published: (2025)
by: Nguyen, Tuan, et al.
Published: (2025)
A Hybrid Vision Transformer Approach for Mathematical Expression Recognition
by: Le, Anh Duy, et al.
Published: (2026)
by: Le, Anh Duy, et al.
Published: (2026)
Similar Items
-
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
by: Nguyen, Khoa Tuan, et al.
Published: (2025) -
Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
by: Nguyen, Khoa Tuan, et al.
Published: (2025) -
Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis
by: Ozbulak, Utku, et al.
Published: (2025) -
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
by: Won, Jong Bum, et al.
Published: (2025) -
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding
by: Kang, Solha, et al.
Published: (2025)