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1. Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer NSTL国家科技图书文献中心

Wang, Ching-Wei |  Liu, Tzu-Chien... -  《Medical image analysis》 - 2025,99 - 103372~103372 - 共18页 - 被引量:1

摘要: directly from the H&E stained whole slide images (WSIs |  mainly evaluated by whole-exome sequencing or next | In endometrial cancer (EC) and colorectal |  cancer (CRC), in addition to microsatellite instability | , tumor mutational burden (TMB) has gradually gained
关键词: Tumor mutational burden |  Endometrial cancer |  Colorectal cancer |  Deep learning |  Whole slide images |  Immunotherapy

2. iForensic, multicentric validation of digital whole slide images (WSI) in forensic histopathology setting according to the College of American Pathologists guidelines NSTL国家科技图书文献中心

Pigaiani, Nicola |  Oliva, Antonio... -  《International journal of legal medicine》 - 2025,139(3) - 1161~1168 - 共8页

摘要: decade. However, the application of digital whole slide |  images (WSI) in forensic pathology still needs to be |  perspectives, with improving impacts on the whole daily | Pathology has benefited from the rapid |  progress of image-digitizing technology during the last
关键词: Digital forensic histopathology |  Digital glass |  Digital whole slide images |  Forensic pathology |  Method validation

3. HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images NSTL国家科技图书文献中心

Zahoor Ahmad |  Khaled Al-Thelaya... -  《Computers in Biology and Medicine》 - 2025,190 - Article 109991~Article 109991 - 共20页

摘要: automated visual annotation of histopathology whole slide |  slide images. |  images. Our method integrates deep learning models to |  slide. We introduce a novel and cost-effective |  histopathologists in their analysis and interpretation of whole
关键词: AI-based annotation; Histopathology; Kernel density estimation; Morse–Smale complex; Nuclei

4. Partial-Label Contrastive Representation Learning for Fine-Grained Biomarkers Prediction From Histopathology Whole Slide Images NSTL国家科技图书文献中心

Yushan Zheng |  Kun Wu... -  《IEEE journal of biomedical and health informatics》 - 2025,29(1) - 396~408 - 共13页

摘要: prediction from whole slide images (WSIs) face challenges |  prediction from histopathology whole slide images. | In the domain of histopathology analysis | , existing representation learning methods for biomarkers |  due to the complexity of tissue subtypes and label
关键词: Representation learning |  Task analysis |  Biomarkers |  Histopathology |  Contrastive learning |  Annotations |  Feature extraction

5. WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering NSTL国家科技图书文献中心

Pingyi Chen |  Chenglu Zhu... -  《Computer Vision - ECCV 2024,Part XXXVI》 -  European Conference on Computer Vision - 2025, - 401~417 - 共17页

摘要: reliable diagnostic results of whole slide images (WSI | Whole slide imaging is routinely adopted for |  reframing various kinds of slide-level tasks in a question |  slide-level question-answering pairs with 977 WSIs | . Besides the ability to deal with different slide-level
关键词: Whole slide imaging |  Visual question answering

6. Glomeruli Segmentation in Whole-Slide Images: Is Better Local Performance Always Better? NSTL国家科技图书文献中心

Maria Sanchez |  Helena Sanchez... -  《Medical Optical Imaging and Virtual Microscopy Image Analysis》 -  International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis |  International Conference on Medical Image Computing and Computer Assisted Intervention - 2025, - 210~217 - 共8页

摘要: from Whole-Slide Images (WSIs) of pathological |  to break down these images offline, train a patch | We consider the task of glomeruli segmentation |  kidneys. In particular, we compare the performance of |  two different encoder-decoder architectures for two
关键词: Kidney pathology image segmentation |  Whole slide image segmentation

7. Breast Cancer Molecular Subtyping from H&E Whole Slide Images Using Foundation Models and Transformers NSTL国家科技图书文献中心

Lauren Jimenez-Marti... |  Carlos Hernandez-Per...... -  《Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care》 -  Workshop on Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast |  International Conference on Medical Image Computing and Computer Assisted Intervention - 2025, - 159~168 - 共10页

摘要:-stained Whole Slide Images (WSI), avoiding the cost and | This study tackles the challenge of |  classifying breast cancer molecular subtypes using H&E |  labor limitations of the commonly used immuno | -histochemistry. We leverage the Attention-Challenging Multiple
关键词: Molecular subtype |  H&E slides |  Breast cancer |  Multiple instance learning

8. Cellular spatial-semantic embedding for multi-label classification of cell clusters in thyroid fine needle aspiration biopsy whole slide images NSTL国家科技图书文献中心

Gao, Juntao |  Zhang, Jing... -  《Pattern recognition letters》 - 2025,188(Feb.) - 125~132 - 共8页

摘要: biopsy whole- slide images (FNAB-WSI) pose considerable |  preprocessed cell cluster images are then fed into a weighted | Multi-label classification of cell clusters is |  crucial for thyroid computer-aided diagnosis. The |  intricate spatial configurations and multifaceted semantic
关键词: Computer-aided diagnosis |  Whole-slide image |  Cell cluster |  Multi-label classification |  Spatial-semantic embedding

9. Diagnosing Helicobacter pylori using autoencoders and limited annotations through anomalous staining patterns in IHC whole slide images NSTL国家科技图书文献中心

Cano, Pau |  Musulen, Eva... -  《International journal of computer assisted radiology and surgery.》 - 2025,20(4) - 765~773 - 共9页

摘要: whole slide images (WSI) having 117 cases without H |  Helicobacter pylori (H. pylori) in histological images with |  localize the pathogen in images, a limited number of | PurposeThis work addresses the detection of |  immunohistochemical staining. This analysis is a time-demanding task
关键词: Digital pathology |  Helicobacter pylori |  Anomaly detection |  Autoencoders

10. Leveraging IHC Staining to Prompt HER2 Status Prediction from HE-Stained Histopathology Whole Slide Images NSTL国家科技图书文献中心

Yuping Wang |  Dongdong Sun... -  《Machine Learning in Medical Imaging,Part I》 -  International Workshop on Machine Learning in Medical Imaging |  International Conference on Medical Image Computing and Computer-Assisted Intervention - 2025, - 133~142 - 共10页

摘要:The development of artificial intelligence has |  significantly impacted the predictive analysis of molecular |  biomarkers, which is crucial for targeted cancer therapy | . Traditional assessment of HER2 in breast cancer utilizes |  both Hematoxylin and Eosin (H&E) and Immunohisto
关键词: HER2 |  Whole slide image |  Multi-modal learning
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