Image de couverture de livre

"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	D'Amato, Marina, van der Laak, Jeroen, Ciompi, Francesco
Format:	Preprint
Publié:	2025
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images
par: Contreras, Nohemi Sofia Leon, et autres
Publié: (2024)

Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types
par: Skrede, Ole-Johan, et autres
Publié: (2025)

Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers
par: Grisi, Clément, et autres
Publié: (2024)

Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
par: Guarnera, Francesco, et autres
Publié: (2023)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
par: Wang, Shanshan, et autres
Publié: (2024)

NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable neuroimaging abnormality Detection
par: Wood, David A.
Publié: (2023)

Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution
par: Zhao, Shi, et autres
Publié: (2024)

What limits performance of weakly supervised deep learning for chest CT classification?
par: Tushar, Fakrul Islam, et autres
Publié: (2024)

Self-supervised feature learning for cardiac Cine MR image reconstruction
par: Xu, Siying, et autres
Publié: (2025)

Navigated hepatic tumor resection using intraoperative ultrasound imaging
par: Olthof, Karin, et autres
Publié: (2025)

WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology
par: Sharma, Abhinav, et autres
Publié: (2024)

Semi-weakly-supervised neural network training for medical image registration
par: Li, Yiwen, et autres
Publié: (2024)

An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
par: Yilmaz, Abdurrahim, et autres
Publié: (2025)

Investigation of unsupervised and supervised hyperspectral anomaly detection
par: Hossain, Mazharul, et autres
Publié: (2024)

A tissue and cell-level annotated H&E and PD-L1 histopathology image dataset in non-small cell lung cancer
par: Spronck, Joey, et autres
Publié: (2025)

Combined fluorescence and photoacoustic imaging of tozuleristide in muscle tissue in vitro -- toward optically-guided solid tumor surgery: feasibility studies
par: Shang, Ruibo, et autres
Publié: (2025)

AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection
par: Kaul, Chaitanya, et autres
Publié: (2024)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
par: Jiang, Jue, et autres
Publié: (2024)

The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
par: Konovalova, Natalia, et autres
Publié: (2024)

A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
par: Sadraoui, Aymen, et autres
Publié: (2023)

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
par: Neidlinger, Peter, et autres
Publié: (2024)

CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography
par: Su, Ruisheng, et autres
Publié: (2022)

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images
par: Hetz, Martin J., et autres
Publié: (2023)

Assessing the risk of recurrence in early-stage breast cancer through H&E stained whole slide images
par: Lee, Geongyu, et autres
Publié: (2024)

Identifying regions of interest in whole slide images of renal cell carcinoma
par: Benomar, Mohammed Lamine, et autres
Publié: (2025)

Switched auxiliary loss for robust training of transformer models for histopathological image segmentation
par: Hussain, Mustaffa, et autres
Publié: (2023)

Estimation of motion blur kernel parameters using regression convolutional neural networks
par: Varela, Luis G., et autres
Publié: (2023)

Passive Sonar Sensor Placement for Undersea Surveillance
par: Weinberg, Graham V., et autres
Publié: (2025)

Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR-STAT with CSF suppression
par: Liu, Hongyan, et autres
Publié: (2024)

Efficient onboard multi-task AI architecture based on self-supervised learning
par: Inzerillo, Gabriele, et autres
Publié: (2024)

Sparse2Inverse: Self-supervised inversion of sparse-view CT data
par: Gruber, Nadja, et autres
Publié: (2024)

Direct vascular territory segmentation on cerebral digital subtraction angiography
par: van der Sluijs, P. Matthijs, et autres
Publié: (2025)

Towards robust radiomics and radiogenomics predictive models for brain tumor characterization
par: Nadeem, Maria, et autres
Publié: (2024)

An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
par: Neto, Pedro C., et autres
Publié: (2023)

Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
par: Li, Zongyu, et autres
Publié: (2024)

Meta-learners for few-shot weakly-supervised optic disc and cup segmentation on fundus images
par: Zumarsyah, Pandega Abyan, et autres
Publié: (2025)

Estimation of non-uniform motion blur using a patch-based regression convolutional neural network (CNN)
par: Varela, Luis G., et autres
Publié: (2024)

Regularizing INR with diffusion prior self-supervised 3D reconstruction of neutron computed tomography data
par: Hossain, Maliha, et autres
Publié: (2026)

SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images
par: Ding, Yao, et autres
Publié: (2025)

Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
par: Millard, Charles, et autres
Publié: (2022)