Case-level Breast Cancer Prediction for Real Hospital Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Pathak, Shreyasi, Schlötterer, Jörg, Geerdink, Jeroen, Veltman, Jeroen, van Keulen, Maurice, Strisciuglio, Nicola, Seifert, Christin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
by: Pathak, Shreyasi, et al.
Published: (2024)
by: Pathak, Shreyasi, et al.
Published: (2024)
An XAI-based Analysis of Shortcut Learning in Neural Networks
by: Le, Phuong Quynh, et al.
Published: (2025)
by: Le, Phuong Quynh, et al.
Published: (2025)
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023)
by: Le, Phuong Quynh, et al.
Published: (2023)
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
by: Eryılmaz, Bahadır, et al.
Published: (2024)
by: Eryılmaz, Bahadır, et al.
Published: (2024)
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
by: De Santi, Lisa Anita, et al.
Published: (2024)
by: De Santi, Lisa Anita, et al.
Published: (2024)
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
by: Kuhn, Lukas, et al.
Published: (2025)
by: Kuhn, Lukas, et al.
Published: (2025)
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
by: Wu, Boqian, et al.
Published: (2024)
by: Wu, Boqian, et al.
Published: (2024)
Feature importance to explain multimodal prediction models. A clinical use case
by: van de Beld, Jorn-Jan, et al.
Published: (2024)
by: van de Beld, Jorn-Jan, et al.
Published: (2024)
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
by: De Santi, Lisa Anita, et al.
Published: (2024)
by: De Santi, Lisa Anita, et al.
Published: (2024)
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
by: Wang, Shunxin, et al.
Published: (2025)
by: Wang, Shunxin, et al.
Published: (2025)
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
by: Vaish, Puru, et al.
Published: (2024)
by: Vaish, Puru, et al.
Published: (2024)
A Survey on the Robustness of Computer Vision Models against Common Corruptions
by: Wang, Shunxin, et al.
Published: (2023)
by: Wang, Shunxin, et al.
Published: (2023)
Regressing Transformers for Data-efficient Visual Place Recognition
by: Leyva-Vallina, María, et al.
Published: (2024)
by: Leyva-Vallina, María, et al.
Published: (2024)
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
by: Bennabhaktula, Guru Swaroop, et al.
Published: (2024)
by: Bennabhaktula, Guru Swaroop, et al.
Published: (2024)
Indoor scene recognition from images under visual corruptions
by: Costa, Willams de Lima, et al.
Published: (2024)
by: Costa, Willams de Lima, et al.
Published: (2024)
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
by: Berasi, Davide, et al.
Published: (2025)
by: Berasi, Davide, et al.
Published: (2025)
Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID
by: Pathak, Priyank, et al.
Published: (2025)
by: Pathak, Priyank, et al.
Published: (2025)
CSI4Free: GAN-Augmented mmWave CSI for Improved Pose Classification
by: Bhat, Nabeel Nisar, et al.
Published: (2024)
by: Bhat, Nabeel Nisar, et al.
Published: (2024)
Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer
by: Janíčková, Ivana, et al.
Published: (2025)
by: Janíčková, Ivana, et al.
Published: (2025)
LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
by: Wu, Boqian, et al.
Published: (2023)
by: Wu, Boqian, et al.
Published: (2023)
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
by: Gustafsson, Fredrik K., et al.
Published: (2026)
by: Gustafsson, Fredrik K., et al.
Published: (2026)
Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning
by: Struye, Jakob, et al.
Published: (2025)
by: Struye, Jakob, et al.
Published: (2025)
Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer
by: Caragliano, Alice Natalina, et al.
Published: (2026)
by: Caragliano, Alice Natalina, et al.
Published: (2026)
Multi-modal Knowledge Decomposition based Online Distillation for Biomarker Prediction in Breast Cancer Histopathology
by: Zhang, Qibin, et al.
Published: (2025)
by: Zhang, Qibin, et al.
Published: (2025)
CRISTAL: Real-time Camera Registration in Static LiDAR Scans using Neural Rendering
by: Vanherck, Joni, et al.
Published: (2025)
by: Vanherck, Joni, et al.
Published: (2025)
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
by: D'Amato, Marina, et al.
Published: (2025)
by: D'Amato, Marina, et al.
Published: (2025)
Histo-MExNet: A Unified Framework for Real-World, Cross-Magnification, and Trustworthy Breast Cancer Histopathology
by: Taufika, Enam Ahmed, et al.
Published: (2026)
by: Taufika, Enam Ahmed, et al.
Published: (2026)
Adaptive Geodesic Conformal Prediction for Egocentric Camera Pose Estimation
by: Pathak, Aishani, et al.
Published: (2026)
by: Pathak, Aishani, et al.
Published: (2026)
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
by: Chegini, Mohaddeseh, et al.
Published: (2024)
by: Chegini, Mohaddeseh, et al.
Published: (2024)
Deep Transfer Learning for Breast Cancer Classification
by: Djagba, Prudence, et al.
Published: (2024)
by: Djagba, Prudence, et al.
Published: (2024)
Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation
by: Golnari, Amin, et al.
Published: (2024)
by: Golnari, Amin, et al.
Published: (2024)
Spatial Multi-Task Learning for Breast Cancer Molecular Subtype Prediction from Single-Phase DCE-MRI
by: Zeng, Sen, et al.
Published: (2026)
by: Zeng, Sen, et al.
Published: (2026)
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
by: Sajnani, Rahul, et al.
Published: (2024)
by: Sajnani, Rahul, et al.
Published: (2024)
Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers
by: Grisi, Clément, et al.
Published: (2024)
by: Grisi, Clément, et al.
Published: (2024)
A Contrastive Learning Framework for Breast Cancer Detection
by: Saeed, Samia, et al.
Published: (2025)
by: Saeed, Samia, et al.
Published: (2025)
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data
by: Nitzan, Shir, et al.
Published: (2024)
by: Nitzan, Shir, et al.
Published: (2024)
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides
by: Lems, Carlijn, et al.
Published: (2025)
by: Lems, Carlijn, et al.
Published: (2025)
Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings
by: Gabriel, Paolo, et al.
Published: (2024)
by: Gabriel, Paolo, et al.
Published: (2024)
Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling
by: Moonemans, Sander, et al.
Published: (2025)
by: Moonemans, Sander, et al.
Published: (2025)
Similar Items
-
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
by: Pathak, Shreyasi, et al.
Published: (2024) -
An XAI-based Analysis of Shortcut Learning in Neural Networks
by: Le, Phuong Quynh, et al.
Published: (2025) -
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023) -
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
by: Eryılmaz, Bahadır, et al.
Published: (2024) -
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
by: De Santi, Lisa Anita, et al.
Published: (2024)