{"total":16,"rows":[{"id":"2102.10553","title":"A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches","created":"2021-02-21","cited_by_count":44,"area":null},{"id":"2210.13007","title":"Iterative Patch Selection for High-Resolution Image Recognition","created":"2022-10-24","cited_by_count":14,"area":null},{"id":"2105.04014","title":"DiagSet: a dataset for prostate cancer histopathological image classification","created":"2021-05-09","cited_by_count":13,"area":null},{"id":"2407.07841","title":"Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective","created":"2024-07-10","cited_by_count":10,"area":null},{"id":"2104.06243","title":"A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers","created":"2021-04-13","cited_by_count":7,"area":null},{"id":"2110.00404","title":"Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation","created":"2021-10-01","cited_by_count":5,"area":null},{"id":"2111.07646","title":"Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning","created":"2021-11-15","cited_by_count":4,"area":null},{"id":"2503.23021","title":"The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology","created":"2025-03-29","cited_by_count":4,"area":null},{"id":"2105.04269","title":"Weakly supervised pan-cancer segmentation tool","created":"2021-05-10","cited_by_count":2,"area":null},{"id":"2204.01728","title":"Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification","created":"2022-04-04","cited_by_count":2,"area":null},{"id":"2112.06121","title":"Magnifying Networks for Images with Billions of Pixels","created":"2021-12-12","cited_by_count":1,"area":null},{"id":"2202.11524","title":"Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups","created":"2022-02-23","cited_by_count":1,"area":null},{"id":"2405.17824","title":"mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2112.09694","title":"Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays","created":"2021-12-17","cited_by_count":0,"area":null},{"id":"2301.07030","title":"Computational Pathology for Brain Disorders","created":"2023-01-13","cited_by_count":0,"area":null},{"id":"2310.03279","title":"Classifying Whole Slide Images: What Matters?","created":"2023-10-05","cited_by_count":0,"area":null}],"next_cursor":null}