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Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound

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Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?

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Autoencoder-Assisted Stacked Ensemble Learning for Lymphoma Subtype Classification: A Hybrid Deep Learning and Machine Learning Approach

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Transforming histologic assessment: artificial intelligence in cancer diagnosis and personalized treatment

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Artificial intelligence defines spatial patterns of tumor-infiltrating lymphocytes highly associated with outcome – a pan-GI cancer study

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A statistical framework for evaluating convolutional neural networks. Application to colon cancer

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Low‐rank fusion convolutional neural network for prediction of remission after stereotactic radiosurgery in patients with acromegaly: a proof‐of‐concept study

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LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification

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Effective Classification of Colon Cancer using Resnet-18 in Comparison with Squeezenet

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Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images

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Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status

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Identifying and training deep learning neural networks on biomedical-related datasets

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Dual resolution deep learning network with self-attention mechanism for classification and localisation of colorectal cancer in histopathological images

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Attention-guided sampling for colorectal cancer analysis with digital pathology

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Test Time Transform Prediction for Open Set Histopathological Image Recognition

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IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification

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Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin

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Artificial intelligence in peripheral blood films: an evolving landscape

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Modelling the Tumour Microenvironment, but What Exactly Do We Mean by “Model”?

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Weakly Supervised Classification for Nasopharyngeal Carcinoma With Transformer in Whole Slide Images

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Tissue concepts: Supervised foundation models in computational pathology

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One-shot learning for generalization in medical image classification across modalities

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CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis

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Deep learning based colorectal cancer detection in medical images: A comprehensive analysis of datasets, methods, and future directions

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Community Question Answering Entity Linking via Leveraging Auxiliary Data

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The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers

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CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification

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XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

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Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model

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Multi-sample $$\zeta $$-mixup: richer, more realistic synthetic samples from a p-series interpolant

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Weight-based ensemble method for crop pest identification

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Morphological Estimation of Cellularity on Neo-Adjuvant Treated Breast Cancer Histological Images

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TSDLPP: A Novel Two-Stage Deep Learning Framework For Prognosis Prediction Based on Whole Slide Histopathological Images

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Federated Learning with Dynamic Model Exchange

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Digital image analysis provides robust tissue microenvironment-based prognosticators in patients with stage I-IV colorectal cancer

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Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images

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Investigating the impact of class-dependent label noise in medical image classification

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Multi-Task Learning in Histo-pathology for Widely Generalizable ModelPreprint

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Classification of Colorectal Cancer using ResNet and EfficientNet Models

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Artificial Intelligence Applications in Lymphoma Diagnosis and Management: Opportunities, Challenges, and Future Directions

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Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence

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Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification

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Artificial Intelligence–Based Single-Cell Analysis as a Next-Generation Histologic Grading Approach in Colorectal Cancer: Prognostic Role and Tumor Biology Assessment

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Metric-Based Meta-Learning Approach for Few-Shot Classification of Brain Tumors Using Magnetic Resonance Images

Gull, S., & Kim, J. (2025) · Electronics · doi:10.3390/electronics14091863 · Cited by 7

Transfer Learning Fusion Approaches for Colorectal Cancer Histopathological Image Analysis

ALGhafri, H. S., & Lim, C. S. (2025) · Journal of Imaging · doi:10.3390/jimaging11070210 · Cited by 7

A Survey of Deep Learning in Histopathological Nuclear Segmentation

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Development and validation of a deep learning-based pathomics signature for prognosis and chemotherapy benefits in colorectal cancer: a retrospective multicenter cohort study

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Exploiting artificial intelligence in precision oncology: an updated comprehensive review

Goda, R. Y., & Abdel‐Aziz, A. K. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-07308-2 · Cited by 9

Integration of geoscience frameworks into digital pathology analysis permits quantification of microarchitectural relationships in histological landscapes

Kendall, T. J., Duff, C. M., Thomson, A. M., & Iredale, J. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-74691-9 · Cited by 7

Interrogating the microenvironmental landscape of tumors with computational image analysis approaches

Valous, N. A., Moraleda, R. R., Jäger, D., Zörnig, I., & Halama, N. (2020) · Seminars in Immunology · doi:10.1016/j.smim.2020.101411 · Cited by 7

Sample self-selection using dual teacher networks for pathological image classification with noisy labels

Han, G., Guo, W., Zhang, H., Jin, J., Gan, X., & Zhao, X. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108489 · Cited by 7

A Novel Colorectal Histopathological Image Classification Method Based on Progressive Multi-Granularity Feature Fusion of Patch

Cao, Z., Jia, W., Jiang, H., Zhao, X., Gao, H., Si, J., & Shi, C. (2024) · IEEE Access · doi:10.1109/access.2024.3401240 · Cited by 7

Weight-Based Privacy-Preserving Asynchronous SplitFed for Multimedia Healthcare Data

Stephanie, V., Khalil, I., & Atiquzzaman, M. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3695876 · Cited by 9

Disentangled Autoencoder for Cross-Stain Feature Extraction in Pathology Image Analysis

Hecht, H., Sarhan, M. H., & Popovici, V. C. (2020) · Applied Sciences · doi:10.3390/app10186427 · Cited by 8

Su-Sampling Based Active Learning For Large-Scale Histopathology Image

Shen, Y., & Ke, J. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506262 · Cited by 7

SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types

Bozorgtabar, B., Vray, G., Mahapatra, D., & Thiran, J. (2021) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw54120.2021.00371 · Cited by 7

Genopathomic profiling identifies signatures for immunotherapy response of lung adenocarcinoma via confounder-aware representation learning

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Efficient Staining-Invariant Nuclei Segmentation Approach Using Self-Supervised Deep Contrastive Network

Abdel‐Nasser, M., Singh, V. K., & Mohamed, E. M. (2022) · Diagnostics · doi:10.3390/diagnostics12123024 · Cited by 9

Investigation of semi- and self-supervised learning methods in the histopathological domain

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L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space

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Whole Slide Imaging: Deep Learning and Artificial Intelligence

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Multi-scale Convolutional Neural Network for Melanoma Histopathology Image Classification

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Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological imagesPreprint

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Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in PathologyPreprint

Žigutytė, L., Lenz, T., Han, T., Hewitt, K. J., Reitsam, N. G., Foersch, S., Carrero, Z. I., Unger, M., Meneghetti, A. R., Pearson, A. T., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.29.620913 · Cited by 7

Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning

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Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

Khanal, B., Dai, T., Bhattarai, B., & Linte, C. A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72120-5_4 · Cited by 6

Pathomic and bioinformatics analysis of clinical-pathological and genomic factors for pancreatic cancer prognosis

Li, Y., Pan, L., Mugaanyi, J., Li, H., Li, G., Huang, J., & Dai, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-79619-1 · Cited by 6

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data

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Privacy-Preserving Poisoning-Resistant Blockchain-Based Federated Learning for Data Sharing in the Internet of Medical Things

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Fine-Tuning Models for Histopathological Classification of Colorectal Cancer

ALGhafri, H. S., & Lim, C. S. (2025) · Diagnostics · doi:10.3390/diagnostics15151947 · Cited by 8

Artificial intelligence in cancer care: revolutionizing diagnosis, treatment, and precision medicine amid emerging challenges and future opportunities

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Revolutionizing gastrointestinal cancer research with artificial intelligence: From precision patient stratification to real-world evidence

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Application of AI in Novel Biomarkers Detection that Induces Drug Resistance, Enhance Treatment Regimens, and Advancing Precision Oncology

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