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Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

https://doi.org/10.1371/journal.pmed.1002730

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/978-3-031-98688-8_7openalex-snapshot

Persistent Homology and Gabor Features Reveal Inconsistencies Between Widely Used Colorectal Cancer Training and Testing Datasets

inferred← citeshttps://doi.org/10.1007/978-3-031-98694-9_7openalex-snapshot

A Hybrid Transformer-Graph Model for Multi-Class Lymph Node Segmentation in Histopathology

inferred← citeshttps://doi.org/10.1007/978-3-032-03985-9_22openalex-snapshot

AI-Assisted Histopathological Image Analysis for Automated Gastric Cancer Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-04971-1_22openalex-snapshot

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-04978-0_53openalex-snapshot

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

inferred← citeshttps://doi.org/10.1007/978-3-032-05185-1_6openalex-snapshot

Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models

inferred← citeshttps://doi.org/10.1007/978-3-032-13961-0_33openalex-snapshot

Debunking Optimization Myths in Federated Learning for Medical Image Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-21200-9_19openalex-snapshot

Predicting Mutations and Metastases in Colorectal Tumors Using Artificial Intelligence

inferred← citeshttps://doi.org/10.1007/978-3-032-23945-7_1openalex-snapshot

Histopathological Image Classification on PathMNIST Using Pretrained CNN Models

inferred← citeshttps://doi.org/10.1007/978-3-032-25029-2_23openalex-snapshot

Using Diffusion Models for Enhancing the Performance of Semi-supervised Image Classifiers

inferred← citeshttps://doi.org/10.1007/978-3-032-25180-0_10openalex-snapshot

A Bag of Tricks for Real-Time Mitotic Figure Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-29615-3_3openalex-snapshot

Artificial Intelligence and Its Role in Early Detection of Lung Cancer

inferred← citeshttps://doi.org/10.1007/978-3-032-29909-3_38openalex-snapshot

Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption

inferred← citeshttps://doi.org/10.1007/978-3-032-30438-4_30openalex-snapshot

Explainable AI for Multi-modal Medical Image Analysis and Radio-Genomics: A Comprehensive Review

inferred← citeshttps://doi.org/10.1007/978-3-032-37933-7_31openalex-snapshot

Label-Attractor Contrastive Network: A Framework for Centroid-Driven Histology Samples

inferred← citeshttps://doi.org/10.1007/978-3-032-38059-3_47openalex-snapshot

Reasoning Trace Divergence: An Empirical Signal for Trustworthy Black-Box MLLMs in Histopathology Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-38072-2_48openalex-snapshot

Selective Rank-1 Orthogonality Regularization: Rethinking Stability-Plasticity Balance in Continual Medical Image Classification

inferred← citeshttps://doi.org/10.1007/978-3-032-39382-1_15openalex-snapshot

Foundation Model Representations for Scalable Content-Based Retrieval in Whole-Slide Histopathology

inferred← citeshttps://doi.org/10.1007/978-981-16-1086-8_40openalex-snapshot

Colorectal Cancer Segmentation Using Atrous Convolution and Residual Enhanced UNet

inferred← citeshttps://doi.org/10.1007/978-981-16-6775-6_10openalex-snapshot

Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods

inferred← citeshttps://doi.org/10.1007/978-981-16-9221-5_22openalex-snapshot

Computational Intelligence-Based Gene Expression Analysis in Colorectal Cancer: A Review

inferred← citeshttps://doi.org/10.1007/978-981-16-9650-3_43openalex-snapshot

A Novel Classification of Cancer Based on Tumor RNA-Sequence (RNA-Seq) Gene Expression

inferred← citeshttps://doi.org/10.1007/978-981-19-9876-8_27openalex-snapshot

Comparative Analysis of Transfer Learning Models in Classification of Histopathological Whole Slide Images

inferred← citeshttps://doi.org/10.1007/978-981-32-9902-3_6openalex-snapshot

AI-Aided Disease Prediction in Visualized Medicine

inferred← citeshttps://doi.org/10.1007/978-981-95-5631-1_36openalex-snapshot

Digital Pathology Image Domain Generalization Based on Collaborative Feature Matching and Uncertainty Perturbation

inferred← citeshttps://doi.org/10.1007/978-981-96-3863-5_27openalex-snapshot

Patch-Level Up-Sampling for Multi-instance Learning in H&E Tissue Micro-Array Based Recurrence Prediction

inferred← citeshttps://doi.org/10.1007/978-981-96-6403-0_22openalex-snapshot

Ablation Studies of KRAS in Colon Cancer: Predictive Power and Diagnostic Accuracy

inferred← citeshttps://doi.org/10.1007/978-981-96-6585-3_26openalex-snapshot

Active Learning by Feature Perturbation for Medical Image Classification

inferred← citeshttps://doi.org/10.1007/978-981-96-8327-7_12openalex-snapshot

Colorectal Cancer Histopathology Images Classification Using Visual Foundation Models

inferred← citeshttps://doi.org/10.1007/978-981-96-8441-0_9openalex-snapshot

A Novel Approach to Multiclass Colon Cancer Detection Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-97-0700-3_19openalex-snapshot

A Novel Ensemble Approach for Colon Cancer Detection Over the Multiclass Colon Dataset

inferred← citeshttps://doi.org/10.1007/978-981-97-3299-9_43openalex-snapshot

Multimodal Metadata Augmentation for Federated Learning in Medical Applications

inferred← citeshttps://doi.org/10.1007/978-981-97-5937-8_7openalex-snapshot

An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images

inferred← citeshttps://doi.org/10.1007/978-981-97-8096-9_17openalex-snapshot

Histopathological Image Classification Using Fine-Tuned Deep Learning Models for Lung and Colon Cancer

inferred← citeshttps://doi.org/10.1007/978-981-97-9693-9_6openalex-snapshot

KI-unterstützte Krankheitsvorhersage in der visualisierten Medizin

inferred← citeshttps://doi.org/10.1007/978-981-99-0835-6_11openalex-snapshot

Fuzzy Metadata Augmentation for Multimodal Data Classification

inferred← citeshttps://doi.org/10.1007/978-981-99-4518-4_16openalex-snapshot

A Study of Deep Learning Methods for Automatic Cancer Detection and Classification in Histopathological Whole-Slide Images

inferred← citeshttps://doi.org/10.1007/978-981-99-4634-1_79openalex-snapshot

Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model

inferred← citeshttps://doi.org/10.1007/978-981-99-7077-3_39openalex-snapshot

Deep Learning-Based Multi-state Colorectal Cancer Histological Image Classification

inferred← citeshttps://doi.org/10.1007/978-981-99-8558-6_26openalex-snapshot

Task-Incremental Medical Image Classification with Task-Specific Batch Normalization

inferred← citeshttps://doi.org/10.1007/978-981-99-9342-0_20openalex-snapshot

Ensemble Deep Learning Techniques for Advancing Breast Cancer Detection and Diagnosis

inferred← citeshttps://doi.org/10.1007/s00262-021-03079-zopenalex-snapshot

The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer

inferred← citeshttps://doi.org/10.1007/s00345-023-04489-7openalex-snapshot

A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma

inferred← citeshttps://doi.org/10.1007/s00424-024-03002-2openalex-snapshot

Decoding pathology: the role of computational pathology in research and diagnostics

inferred← citeshttps://doi.org/10.1007/s00428-023-03509-6openalex-snapshot

High-multiplex tissue imaging in routine pathology—are we there yet?

inferred← citeshttps://doi.org/10.1007/s00428-023-03518-5openalex-snapshot

Artificial intelligence–assisted cancer diagnosis improves the efficiency of pathologists in prostatic biopsies

inferred← citeshttps://doi.org/10.1007/s00428-025-04064-yopenalex-snapshot

Implementing digital pathology: qualitative and financial insights from eight leading European laboratories

inferred← citeshttps://doi.org/10.1007/s00432-022-03976-5openalex-snapshot

A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer

inferred← citeshttps://doi.org/10.1007/s00432-022-04435-xopenalex-snapshot

Computer-aided detection and prognosis of colorectal cancer on whole slide images using dual resolution deep learning

inferred← citeshttps://doi.org/10.1007/s00432-022-04446-8openalex-snapshot

Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images

inferred← citeshttps://doi.org/10.1007/s00432-023-04838-4openalex-snapshot

Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images

inferred← citeshttps://doi.org/10.1007/s00500-021-06555-xopenalex-snapshot

Deep learning for single-lead ECG beat arrhythmia-type detection using novel iris spectrogram representation

inferred← citeshttps://doi.org/10.1007/s00521-022-07953-4openalex-snapshot

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models

inferred← citeshttps://doi.org/10.1007/s00521-026-12453-wopenalex-snapshot

RDA-ResNet50: reaction-diffusion-attention-based ResNet50 for skin cancer diagnosis

inferred← citeshttps://doi.org/10.1007/s00535-022-01894-4openalex-snapshot

Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer

inferred← citeshttps://doi.org/10.1007/s00595-021-02380-9openalex-snapshot

Machine learning in gastrointestinal surgery

inferred← citeshttps://doi.org/10.1007/s00761-023-01359-0openalex-snapshot

Künstliche Intelligenz und digitale Pathologie als Treiber der Präzisionsonkologie

inferred← citeshttps://doi.org/10.1007/s10120-020-01093-1openalex-snapshot

Development and validation of a deep learning system for ascites cytopathology interpretation

inferred← citeshttps://doi.org/10.1007/s10120-022-01328-3openalex-snapshot

Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study

inferred← citeshttps://doi.org/10.1007/s10278-023-00797-xopenalex-snapshot

DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs

inferred← citeshttps://doi.org/10.1007/s10278-024-01049-2openalex-snapshot

From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images

inferred← citeshttps://doi.org/10.1007/s10278-026-02095-8openalex-snapshot

Domain-Specific Transfer Learning for Gastric Cancer Tissue Classification

inferred← citeshttps://doi.org/10.1007/s10278-026-02107-7openalex-snapshot

Embedding Anisotropy in Medical Image Foundation Models: Post Hoc Whitening Degradation and Spectral-Aware Standardization

inferred← citeshttps://doi.org/10.1007/s10278-026-02371-7openalex-snapshot

Person-Based Progression in Acute Myeloid Leukemia Classification: A Multi-View Convolutional Neural Network Approach

inferred← citeshttps://doi.org/10.1007/s10462-024-10887-zopenalex-snapshot

A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques

inferred← citeshttps://doi.org/10.1007/s10845-024-02549-2openalex-snapshot

Deep learning-based rotational alignment technique using image generation and Fourier transform

inferred← citeshttps://doi.org/10.1007/s11042-022-11946-9openalex-snapshot

Improving machine learning recognition of colorectal cancer using 3D GLCM applied to different color spaces

inferred← citeshttps://doi.org/10.1007/s11042-023-17968-1openalex-snapshot

Medical images under tampering

inferred← citeshttps://doi.org/10.1007/s11042-024-18357-yopenalex-snapshot

Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking

inferred← citeshttps://doi.org/10.1007/s11042-026-21358-8openalex-snapshot

Prototypical aggregate network - boosting few-shot learning for medical image classification

inferred← citeshttps://doi.org/10.1007/s11060-024-04665-8openalex-snapshot

Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma

inferred← citeshttps://doi.org/10.1007/s11227-020-03575-6openalex-snapshot

A novel transfer learning approach for the classification of histological images of colorectal cancer

inferred← citeshttps://doi.org/10.1007/s11255-025-04878-4openalex-snapshot

Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment

inferred← citeshttps://doi.org/10.1007/s11263-020-01373-4openalex-snapshot

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains

inferred← citeshttps://doi.org/10.1007/s11265-025-01967-6openalex-snapshot

A Lightweight Deep Feature Selection Contour for Emotion Recognition from Human Faces

inferred← citeshttps://doi.org/10.1007/s11517-025-03292-3openalex-snapshot

PEDRA-EFB0: colorectal cancer prognostication using deep learning with patch embeddings and dual residual attention

inferred← citeshttps://doi.org/10.1007/s11684-024-1085-3openalex-snapshot

Artificial intelligence methods available for cancer research

inferred← citeshttps://doi.org/10.1007/s11845-023-03479-3openalex-snapshot

Artificial Intelligence in pathology: current applications, limitations, and future directions

inferred← citeshttps://doi.org/10.1007/s12072-022-10321-yopenalex-snapshot

Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study

inferred← citeshttps://doi.org/10.1007/s12204-024-2743-yopenalex-snapshot

TshFNA-Examiner: A Nuclei Segmentation and Cancer Assessment Framework for Thyroid Cytology Image

inferred← citeshttps://doi.org/10.1007/s12288-025-02244-zopenalex-snapshot

Artificial Intelligence in Hematology

inferred← citeshttps://doi.org/10.1007/s12530-023-09491-3openalex-snapshot

A survey on recent trends in deep learning for nucleus segmentation from histopathology images

inferred← citeshttps://doi.org/10.1007/s12530-026-09849-3openalex-snapshot

Next-gen colorectal cancer diagnosis using depthwise separable convolution in histopathology image analysis

inferred← citeshttps://doi.org/10.1007/s12672-025-04009-6openalex-snapshot

Chemotherapy and age stratified survival outcomes in colorectal cancer based on a population analysis from the surveillance epidemiology and end results program 2010 to 2020

inferred← citeshttps://doi.org/10.1007/s13205-025-04518-9openalex-snapshot

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

inferred← citeshttps://doi.org/10.1007/s13258-025-01677-0openalex-snapshot

Deep learning-driven whole-slide image analysis predicts chemo-resistance and motility subtypes in muscle-invasive bladder cancer

inferred← citeshttps://doi.org/10.1007/s13304-026-02533-wopenalex-snapshot

Two decades of artificial intelligence in colon cancer diagnosis and treatment: a bibliometric analysis of research trends (2003–2023)

inferred← citeshttps://doi.org/10.1007/s13369-026-11085-5openalex-snapshot

GCN-QuadNet: A Lightweight and Efficient Graph-Based Framework for Colorectal Cancer Segmentation in Whole Slide Histopathology Images

inferred← citeshttps://doi.org/10.1007/s13369-026-11411-xopenalex-snapshot

DQSD-Net: Dynamic Quantum State Fusion and Self-Distillation Enhanced CNN for Classifying Colorectal Cancer Images

inferred← citeshttps://doi.org/10.1007/s13402-023-00851-4openalex-snapshot

Prognostic significance of collagen signatures at breast tumor boundary obtained by combining multiphoton imaging and imaging analysis

inferred← citeshttps://doi.org/10.1007/s40745-026-00729-wopenalex-snapshot

A Secure and Efficient Federated Learning Privacy Protection Scheme Based on DCT and Top-k Sparsity

inferred← citeshttps://doi.org/10.1007/s44427-025-00003-6openalex-snapshot

On Background Classes in Prototype-Based Architectures

inferred← citeshttps://doi.org/10.1007/s44443-026-00490-3openalex-snapshot

GEM-Net: a compact Ghost-ECA CNN with multi-stage feature fusion for multi-domain histopathology classification

inferred← citeshttps://doi.org/10.1016/b978-0-12-821259-2.00017-xopenalex-snapshot

Meaningful incorporation of artificial intelligence for personalized patient management during cancer: Quantitative imaging, risk assessment, and therapeutic outcomes

inferred← citeshttps://doi.org/10.1016/b978-0-12-824297-1.00014-2openalex-snapshot

Imaging of colorectal nodal disease

inferred← citeshttps://doi.org/10.1016/b978-0-323-85240-1.00007-9openalex-snapshot

Integrative data analysis and automated deep learning technique for ovary cancer detection

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