Deep Learning for Classification of Colorectal Polyps on Whole-slide Images

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Microfluidics-based patient-derived disease detection tool for deep learning-assisted precision medicine

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

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Prediction of pouchitis after ileal pouch–anal anastomosis in patients with ulcerative colitis using artificial intelligence and deep learning

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Limited Number of Cases May Yield Generalizable Models, a Proof of Concept in Deep Learning for Colon Histology

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

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

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Detecting, localizing and classifying polyps from colonoscopy videos using deep learning

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Multi-scale high and low feature fusion attention network for intestinal image classification

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Review of Classification Techniques Using Deep Learning for Colorectal Cancer Imaging Modalities

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Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design

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Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images

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Evaluation of a Task-Specific Self-Supervised Learning Framework in Digital Pathology Relative to Transfer Learning Approaches and Existing Foundation Models

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Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity Assessment

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HistoPerm: A permutation-based view generation approach for improving histopathologic feature representation learning

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Classification of histological images of thyroid nodules based on a combination of Deep Features and Machine Learning

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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction

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“Artificial histology” in colonic Neoplasia: A critical approach

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Application of Deep Learning Algorithm in Feature Mining and Rapid Identification of Colorectal Image

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Deep Learning Based Colorectal Cancer (CRC) Tumors Prediction

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The future of artificial intelligence in healthcare

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High‐Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self‐Supervised Feature Representation

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Classification of Colorectal Polyps from Histopathological Images using Ensemble of ConvNeXt VariantsPreprint

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Current trends of artificial intelligence and applications in digital pathology: A comprehensive review

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Bionnica: a customizable deep neural network architecture for colorectal polyps’ premalignancy risk evaluation with masked autoencoders

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Classification SARS-CoV-2 Disease based on CT-Scan Image Using Convolutional Neural Network

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Deep learning-based open source toolkit for eosinophil detection in pediatric eosinophilic esophagitis

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AI4CRC: A Deep Learning Approach Towards Preventing Colorectal Cancer

Fanijo, S. O. (2024) · Journal of Future Artificial Intelligence and Technologies · doi:10.62411/faith.2024-28 · Cited by 8

Osteoporosis Recognition in Rats under Low-Power Lens Based on Convexity Optimization Feature Fusion

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Classification of Colon Cancer through analysis of histopathology images using Transfer Learning

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PathFlow-MixMatch for Whole Slide Image Registration: An Investigation of a Segment-Based Scalable Image Registration MethodPreprint

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Improved Skin Cancer Detection with 3D Total Body Photography: Integrating AI Algorithms for Precise DiagnosisPreprint

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Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review

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Aligning computational pathology with clinical practice for colorectal cancer

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Artificial Intelligence Technology Applications in the Pathologic Diagnosis of the Gastrointestinal Tract

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Colorectal Cancer Symptoms and Risk Factors - A Review

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EFAG-CNN: Effectively fused attention guided convolutional neural network for WCE image classification

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Introduction to Digital Pathology from Historical Perspectives to Emerging Pathomics

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Recent Advances on Convolutional Architectures in Medical Applications: Classical or Quantum?

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Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis

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Deep Learning and Colon Cancer Interpretation

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Multi-classification of colorectal polyps with fused residual attention

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Artificial intelligence and the evolution of pathology: Scaling from digital diagnostics to multimodal precision medicine

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Application of Massive Parallel Deep Learning Algorithm in the Prediction of Colorectal Carcinogenesis of Familial Polyposis

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Advancement in Lung Cancer Diagnosis: A Comprehensive Review of Deep Learning Approaches

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The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease

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A Narrative Review on the Role of Artificial Intelligence (AI) in Colorectal Cancer Management

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Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records

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Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model

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Identify specific gene pairs for subarachnoid hemorrhage based on wavelet analysis and genetic algorithm

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Calibrating Histopathology Image Classifiers Using Label Smoothing

Wei, J., Torresani, L., Wei, J., & Hassanpour, S. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-09342-5_26 · Cited by 4

Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia

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Histopathological Classification of Colorectal Polyps using Deep Learning

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Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning

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Improved artificial intelligence discrimination of minor histological populations by supplementing with color-adjusted images

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Recognition of Colon Polyps (Tubular Adenoma, Villous Adenoma) and Normal Colon Epithelium Histomorphology with Transfer Learning

Karabulut, İ., Selen, R., Özmen, S., & Yağanoğlu, M. (2024) · Eurasian Journal of Medicine · doi:10.5152/eurasianjmed.2024.23130 · Cited by 4

Neural networks for morphological diagnostics

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Difficulty Translation in Histopathology Images

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Rhabdomyosarcoma Histology Classification using Ensemble of Deep Learning Networks

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Subclass Knowledge Distillation with Known Subclass Labels

Sajedi, A., Lawryshyn, Y., & Plataniotis, K. N. (2022) · Multidimensional Signal Processing Workshop · doi:10.1109/ivmsp54334.2022.9816232 · Cited by 4

Classification of Cancer Microarray Data Based on Deep Learning: A Review

Fadhil, J. A., & Abdulazeez, A. M. (2024) · Indonesian Journal of Computer Science · doi:10.33022/ijcs.v13i1.3711 · Cited by 4

On the Efficiency of Subclass Knowledge Distillation in Classification TasksPreprint

Sajedi, A., & Plataniotis, K. N. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.05587 · Cited by 4

Closing the data gap: leveraging pretrained neural networks for robotic surgical assessment on limited clinical data

Hashemi, N., Mose, M., Østergaard, L. R., Bjerrum, F., Søgaard-Andersen, E., Fabrin, K., Tuckus, G., Friis, M. L., Rasmussen, S., & Tolsgaard, M. G. (2025) · Journal of Robotic Surgery · doi:10.1007/s11701-025-02994-y · Cited by 3

Utilizing Machine Learning Techniques for Categorizing Cancer Based on Gene Expression Data: A Review

Begum S., S. D. (2024) · Journal of Electrical Systems · doi:10.52783/jes.1424 · Cited by 3

Deep learning‐based hyperspectral technique identifies metastatic lymph nodes in oral squamous cell carcinoma—A pilot study

Li, Q., Zhang, X., Zhang, J., Huang, H., Li, L., Guo, C., Li, W., & Guo, Y. (2024) · Oral Diseases · doi:10.1111/odi.15067 · Cited by 3

Reframing Cancer as an Immunological Disorder Through Personalized Nutrition and AI Integration

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Enabling Efficient Training of Convolutional Neural Networks for Histopathology Images

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The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision

Cossio, M. (2023) · Artificial intelligence · doi:10.5772/intechopen.110133 · Cited by 3

An ensemble WideResNet learning-based approach for classification of multi-class colorectal cancer tissue types in histology images

Masrori, M., Dadpay, M., Rezaee, K., Naghoosi, H., Bagheri, H., & Saeedi, S. (2023) · Scientia Iranica · doi:10.24200/sci.2023.60419.6790 · Cited by 3

Prognostic Analysis Combining Histopathological Features and Clinical Information to Predict Colorectal Cancer Survival from Whole-Slide Images

Cai, C., Zhou, Y., Wang, X., Jiao, Y., Liang, L., & Xu, J. (2024) · Digestive Diseases and Sciences · doi:10.1007/s10620-024-08501-x · Cited by 3

Adaptive image quantization for discrimination of cervical pre-cancer

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Automated identification and quantification of myocardial inflammatory infiltration in whole slide image to diagnose myocarditis

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Artificial intelligence in cancer research and precision medicine

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Assessment of ChatGPT in Recommending Immunohistochemistry Panels for Salivary Gland Tumors

Cuevas‐Nunez, M., Galletti, C., Fiorillo, L., Meto, A., Díaz-Castañeda, W. R., Shahrabi‐Farahani, S., Fadda, G., Zuccalà, V., Gil-Manich, V., Bara-Casaus, J., et al. (2025) · BioMedInformatics · doi:10.3390/biomedinformatics5040066 · Cited by 2

Leveraging Contrastive Learning for Enhanced Skin Diseases Classification

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Artificial intelligence in pathological evaluation of gastrointestinal cancers

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A Comprehensive Review on Artificial Intelligence-Driven Radiomics for Early Cancer Detection and Intelligent Medical Supply Chain

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Going Deeper into Colorectal Cancer Histopathology

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GRAND(ER) ROUNDS: Expanding the universe of topics and speakers in a pathology department seminar series

Gutmann, E. J. (2018) · Annals of Diagnostic Pathology · doi:10.1016/j.anndiagpath.2018.05.006 · Cited by 2

Automated risk classification of colon biopsies based on semantic segmentation of histopathology imagesPreprint

Bokhorst, J., Nagtegaal, I. D., Fraggetta, F., Vatrano, S., Mesker, W. E., Vieth, M., van der Laak, J. A. W. M., & Ciompi, F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.07892 · Cited by 2

Early Detection of Cardiovascular Disorders Using Enhanced ANN Model

Krishnamoorthi, V., & Revanth Srinivasa Reddy, B. (2024) · International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS) · doi:10.1109/adics58448.2024.10533530 · Cited by 1

A Joint Magnification and Attention Sampling Based Cascade Network for BRCA Mutation Classification from Histopathology Images

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UltraLight Med-Vision Mamba for Classification of Neoplastic Progression in Tubular Adenomas

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Nurr1 deficiency orchestrates a coupled liver–gut pathological axis revealed by multi-omics and deep-learning histopathology

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