NSTL国家科技图书文献中心

1. 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

2. 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

3. 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

4. Positional encoding-guided transformer-based multiple instance learning histopathology whole slide images classification NSTL国家科技图书文献中心

Shi, Jun | Sun, Dongdong ... - 《Computer Methods and Programs in Biomedicine》 - 2025,258 - 108491～108491 - 共14页

摘要：Background and objectives: Whole* slide image* | features of the patches within a WSI to achieve the slide | (WSI) classification is of great clinical | significance in computer-aided pathological diagnosis. Due to | the high cost of manual annotation, weakly

关键词： Digital pathology | Whole slide image | Multiple instance learning | Position encoding | Cancer subtyping | Gene mutation prediction

5. Efficient and Generalizable Prediction of Molecular Alterations in Multiple-Cancer Cohorts Using Hematoxylin and Eosin Whole Slide Images NSTL国家科技图书文献中心

Ingale, Kshitij | Hong, Sun Hae ... - 《Modern pathology》 - 2025,38(4) - 100691～100691 - 共12页

摘要：, whole* slide image embeddings derived using multitask* | routinely generated hematoxylin and eosinestained images | images using a multitask approach. Compared with | predictions from a single slide. (c) 2024 THE AUTHORS | Molecular testing of tumor samples for

关键词： biomarkers | image processing | multiple instance learning

6. Prospective and Retrospective Analysis of Whole-Slide Images of Sentinel and Targeted Lymph Node Frozen Sections in Breast Cancer NSTL国家科技图书文献中心

Ye, Qiqi | Law, Timothy ... - 《Modern pathology》 - 2025,38(4) - 100708～100708 - 共8页

摘要： that demonstrate the potential of whole-slide* imaging* | Different digital modalities are currently | available for frozen section (FS) evaluation in surgical | pathology practice. However, there are limited studies | (WSI) as a robust digital pathology option for FS

关键词： breast cancer | frozen section | lymph nodes | whole-slide imaging

7. Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer NSTL国家科技图书文献中心

Tong Wang | Su-Jin Shin ... - 《IEEE journal of biomedical and health informatics》 - 2025,29(1) - 420～432 - 共13页

摘要：Automated detection of lymph node metastasis | (LNM) holds great potential to alleviate the workload | of doctors and reduce misinterpretations. Despite | the practical successes achieved, effectively | addressing the highly complex and heterogeneous tumor

关键词： Tumors | Feature extraction | Cancer | Multitasking | Vectors | Medical diagnostic imaging | Lymph nodes | Hospitals | Accuracy | Training

8. MetFinder: A Tool for Automated Quantitation of Metastatic Burden in Histological Sections From Preclinical Models NSTL国家科技图书文献中心

Karz, Alcida | Coudray, Nicolas ... - 《Pigment cell & melanoma research》 - 2025,38(1) - n/a～n/a - 共17页

摘要： quantification of tumor content from whole* slide images is a* | performance in segmenting these images, the tool obtained | As efforts to study the mechanisms of melanoma | metastasis and novel therapeutic approaches multiply | , researchers need accurate, high-throughput methods to

关键词： deep learning | histopathology | metastatic burden | murine models | preclinical studies | quantification | whole slide images

9. Multiple-Instance Learning for thyroid gland disease classification: A hands-on experience NSTL国家科技图书文献中心

Lysukhin D. | Varlamov A.... - 《Computers in Biology and Medicine》 - 2025,184 - 109424～109424 - 共9页

摘要： evaluating multiple whole* slide images (WSIs) from a single* | also assessed the impact of detailed slide-level | © 2024 Elsevier LtdThe morphological diagnosis | of thyroid gland neoplasms presents a dual | challenge: it requires the expertise of highly trained

关键词： Artificial intelligence | Histopathology | Multiple Instance Learning | Thyroid cancer | Whole-slide images

10. Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer NSTL国家科技图书文献中心

Wang, Ching-Wei | Muzakky, Hikam ... - 《Computerized Medical Imaging and Graphics》 - 2025,121 - 102499～102499 - 共16页

摘要： histopathological whole* slide images of EC and CRC slides* | Mismatch repair deficiency (dMMR), also known | as high-grade microsatellite instability (MSI-H | ), is a well- established biomarker for predicting the | immunotherapy response in endometrial cancer (EC) and

关键词： Microsatellite instability | TP53 | Tumor mutational burden | Endometrial cancer | Colorectal cancer | Deep learning | Whole slide images | Immunotherapy

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

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

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

摘要：Background and objectives: Whole slide image | features of the patches within a WSI to achieve the slide | (WSI) classification is of great clinical | significance in computer-aided pathological diagnosis. Due to | the high cost of manual annotation, weakly