{"total":15,"rows":[{"id":"2110.06042","title":"SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer","created":"2021-10-12","cited_by_count":31,"area":null},{"id":"2408.02859","title":"Multistain Pretraining for Slide Representation Learning in Pathology","created":"2024-08-05","cited_by_count":28,"area":null},{"id":"2111.04738","title":"HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization","created":"2021-11-08","cited_by_count":8,"area":null},{"id":"2302.09682","title":"Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images","created":"2023-02-19","cited_by_count":5,"area":null},{"id":"2301.06304","title":"LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset","created":"2023-01-16","cited_by_count":3,"area":null},{"id":"2404.00837","title":"Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2211.09559","title":"Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach","created":"2022-11-17","cited_by_count":2,"area":null},{"id":"2211.10690","title":"convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer","created":"2022-11-19","cited_by_count":2,"area":null},{"id":"2502.19123","title":"From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review","created":"2025-02-26","cited_by_count":2,"area":null},{"id":"2308.02528","title":"A comprehensive review of deep learning in lung cancer","created":"2023-07-31","cited_by_count":1,"area":null},{"id":"2311.13719","title":"Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images","created":"2023-11-22","cited_by_count":1,"area":null},{"id":"2312.06454","title":"Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2204.04949","title":"A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2211.04649","title":"Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations","created":"2022-11-09","cited_by_count":0,"area":null},{"id":"2501.12085","title":"Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation","created":"2025-01-21","cited_by_count":0,"area":null}],"next_cursor":null}