Browse State-of-the-Art › whole slide images
whole slide images
321 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
5 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 321 papers with code (745 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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24 Mar 2020 8 repositories listed Syntology ran 4 of 40 samples · 36 unverified · 1 pointer-only (licence)The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous…
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10 Jul 2024 5 repositories listedHerein, we propose an efficient and effective slide-level classification model, named as FALFormer, that can process a WSI as a whole so as to fully exploit the relationship among the entire patches and to improve the…
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9 Aug 2024 4 repositories listedAmong the evaluated models, CellViT demonstrated superior performance in segmenting nuclei in kidney pathology.
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21 Apr 2025 3 repositories listedThe growing adoption of digital pathology only intensifies the need for an intermediary digital slide format that emphasizes performance for use between slide servers and image management software.
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18 Jun 2024 3 repositories listed Syntology ran 8 of 12 samples · 4 unverified · 12 pointer-only (licence)While existing methods to alleviate this issue introduce complex modules or processing steps, such as multiple-stage training and teacher-student distillation, this paper proposes a simple yet effective regularization:…
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14 Jun 2023 3 repositories listed Syntology ran 10 of 18 samples · 8 unverified · 18 pointer-only (licence)Survival prediction is a complicated ordinal regression task that aims to predict the ranking risk of death, which generally benefits from the integration of histology and genomic data.
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18 Jun 2016 3 repositories listedThe International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole slide images of sentinel lymph node…
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28 Jan 2025 2 repositories listedFoundation models are reshaping computational pathology by enabling transfer learning, where models pre-trained on vast datasets can be adapted for downstream diagnostic, prognostic, and therapeutic response tasks.
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24 Jan 2025 2 repositories listedWe propose and validate a fundamentally simpler deep learning based CTA that can be trained in only ten minutes on hundredfold fewer pathologist annotations.
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17 Dec 2024 2 repositories listedTo derive more nuanced image and text representations, we propose a novel knowledge-enhanced vision-language pre-training approach that integrates disease knowledge into the alignment within hierarchical semantic groups…
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16 Oct 2024 2 repositories listedMedical data employed in research frequently comprises sensitive patient health information (PHI), which is subject to rigorous legal frameworks such as the General Data Protection Regulation (GDPR) or the Health…
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22 Jul 2024 2 repositories listed Syntology ran 9 of 11 samples · 2 unverified · 11 pointer-only (licence)In this study, for the first time, we develop a pathology foundation model incorporating three levels of modalities: pathology slides, pathology reports, and gene expression data, which resulted in 26, 169 slide-level…
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19 May 2024 2 repositories listed Syntology ran 5 of 9 samples · 4 unverified · 9 pointer-only (licence)Representation learning of pathology whole-slide images (WSIs) has been has primarily relied on weak supervision with Multiple Instance Learning (MIL).
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16 May 2024 2 repositories listedFoundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine.
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24 Mar 2024 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have been devoted to build foundation models…
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11 Mar 2024 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)Multiple Instance Learning (MIL) has emerged as a dominant paradigm to extract discriminative feature representations within Whole Slide Images (WSIs) in computational pathology.
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11 Jan 2024 2 repositories listedThe development of computer vision solutions for gigapixel images in digital pathology is hampered by significant computational limitations due to the large size of whole slide images.
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19 Dec 2023 2 repositories listedWe find that a "soft", probability-map instance segmentation ground truth leads to best model performance.
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7 Dec 2023 2 repositories listed Syntology ran 5 of 12 samples · 7 unverifiedTraining multi-model models for histopathology requires instruction tuning datasets, which currently contain information for individual image patches, without a spatial grounding of the concepts within each patch and…
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22 Nov 2023 2 repositories listedIn this study, we aimed to develop an AI model for segmentation of epithelial cells in sections from breast cancer.
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15 Nov 2023 2 repositories listed Syntology ran 6 of 11 samples · 5 unverifiedTechnological advances in medical data collection, such as high-throughput genomic sequencing and digital high-resolution histopathology, have contributed to the rising requirement for multimodal biomedical modelling,…
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26 Jul 2023 2 repositories listedHistological whole slide images (WSIs) can be usually compromised by artifacts, such as tissue folding and bubbles, which will increase the examination difficulty for both pathologists and Computer-Aided Diagnosis (CAD)…
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10 Jul 2023 2 repositories listedDeveloping computational pathology models is essential for reducing manual tissue typing from whole slide images, transferring knowledge from the source domain to an unlabeled, shifted target domain, and identifying…
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13 Apr 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)We propose fusing both modalities using a memory-efficient multimodal Transformer that can model interactions between pathway and histology patch tokens.
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20 Mar 2023 2 repositories listedThese SSL approaches, however, are not designed for handling multi-resolution WSIs, which limits their performance in learning discriminative image features.
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9 Apr 2022 2 repositories listed Syntology ran 0 of 11 samples · 11 unverifiedFurthermore, we show that UQ thresholding remains reliable in the setting of domain shift, with accurate high-confidence predictions of adenocarcinoma vs.
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22 Mar 2022 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 3 pointer-only (licence)Multiple instance learning (MIL) has been increasingly used in the classification of histopathology whole slide images (WSIs).
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14 Feb 2022 2 repositories listedOur approach is to transfer an open source machine learning method for segmentation and classification of nuclei in H&E slides trained on public data to TIL quantification without manual labeling of our data.
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16 Nov 2021 2 repositories listedApplication of deep learning on histopathological whole slide images (WSIs) holds promise of improving diagnostic efficiency and reproducibility but is largely dependent on the ability to write computer code or purchase…
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28 Jul 2021 2 repositories listedSimilar pathology image search offers the opportunity to comb through large historical repositories of gigapixel WSIs to identify cases with similar morphological features and can be particularly useful for diagnosing…
Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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