TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
Fuente:
arXiv
Saved in:
| Main Authors: | Farndale, Lucas, Insall, Robert, Yuan, Ke |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic Privileged Information Enhances Medical Image Representation Learning
by: Farndale, Lucas, et al.
Published: (2024)
by: Farndale, Lucas, et al.
Published: (2024)
A study on Deep Convolutional Neural Networks, transfer learning, and Mnet model for Cervical Cancer Detection
by: Sagor, Saifuddin, et al.
Published: (2025)
by: Sagor, Saifuddin, et al.
Published: (2025)
TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying
by: Ge, Aaron, et al.
Published: (2024)
by: Ge, Aaron, et al.
Published: (2024)
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation
by: Gorade, Vandan, et al.
Published: (2023)
by: Gorade, Vandan, et al.
Published: (2023)
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
by: Khan, Wasif, et al.
Published: (2025)
by: Khan, Wasif, et al.
Published: (2025)
Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?
by: Gallagher-Syed, Amaya, et al.
Published: (2024)
by: Gallagher-Syed, Amaya, et al.
Published: (2024)
R-Net: A Reliable and Resource-Efficient CNN for Colorectal Cancer Detection with XAI Integration
by: Ayon, Rokonozzaman, et al.
Published: (2025)
by: Ayon, Rokonozzaman, et al.
Published: (2025)
Quantifying Local Strain Field and Deformation in Active Contraction of Bladder Using a Pretrained Transformer Model: A Speckle-Free Approach
by: Asadbeygi, Alireza, et al.
Published: (2026)
by: Asadbeygi, Alireza, et al.
Published: (2026)
A Survey on Graph-Based Deep Learning for Computational Histopathology
by: Ahmedt-Aristizabal, David, et al.
Published: (2021)
by: Ahmedt-Aristizabal, David, et al.
Published: (2021)
A Lightweight, Interpretable Deep Learning System for Automated Detection of Cervical Adenocarcinoma In Situ (AIS)
by: Fernandes, Gabriela
Published: (2025)
by: Fernandes, Gabriela
Published: (2025)
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning
by: Nan, Tianhang, et al.
Published: (2024)
by: Nan, Tianhang, et al.
Published: (2024)
Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
by: Cheung, Justin, et al.
Published: (2025)
by: Cheung, Justin, et al.
Published: (2025)
A Multi-scale Linear-time Encoder for Whole-Slide Image Analysis
by: Dwarampudi, Jagan Mohan Reddy, et al.
Published: (2026)
by: Dwarampudi, Jagan Mohan Reddy, et al.
Published: (2026)
Histopathology Slide Indexing and Search: Are We There Yet?
by: Shang, Helen H., et al.
Published: (2023)
by: Shang, Helen H., et al.
Published: (2023)
retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers
by: Quiros, Jose D. Vargas, et al.
Published: (2026)
by: Quiros, Jose D. Vargas, et al.
Published: (2026)
Open and reusable deep learning for pathology with WSInfer and QuPath
by: Kaczmarzyk, Jakub R., et al.
Published: (2023)
by: Kaczmarzyk, Jakub R., et al.
Published: (2023)
Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications
by: Nahass, George R., et al.
Published: (2024)
by: Nahass, George R., et al.
Published: (2024)
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics
by: Rout, Biraaj, et al.
Published: (2024)
by: Rout, Biraaj, et al.
Published: (2024)
Cost-Effective Active Labeling for Data-Efficient Cervical Cell Classification
by: Liu, Yuanlin, et al.
Published: (2025)
by: Liu, Yuanlin, et al.
Published: (2025)
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
by: Jaume, Guillaume, et al.
Published: (2023)
by: Jaume, Guillaume, et al.
Published: (2023)
LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain
by: Zeng, Zixue, et al.
Published: (2025)
by: Zeng, Zixue, et al.
Published: (2025)
Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection
by: Cohen, Benjamin A., et al.
Published: (2025)
by: Cohen, Benjamin A., et al.
Published: (2025)
Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentin
by: Anderson, Lauren, et al.
Published: (2025)
by: Anderson, Lauren, et al.
Published: (2025)
PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images
by: Krishna, Akhila, et al.
Published: (2024)
by: Krishna, Akhila, et al.
Published: (2024)
Transfer Learning from One Cancer to Another via Deep Learning Domain Adaptation
by: Cheung, Justin, et al.
Published: (2026)
by: Cheung, Justin, et al.
Published: (2026)
Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
by: Streller, Matthias, et al.
Published: (2024)
by: Streller, Matthias, et al.
Published: (2024)
AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes
by: Ahmed, Ahasan, et al.
Published: (2025)
by: Ahmed, Ahasan, et al.
Published: (2025)
RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation
by: Zhaksylyk, Nuren, et al.
Published: (2025)
by: Zhaksylyk, Nuren, et al.
Published: (2025)
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology
by: Ferber, Dyke, et al.
Published: (2024)
by: Ferber, Dyke, et al.
Published: (2024)
Development and Validation of Fully Automatic Deep Learning-Based Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal Carcinoma
by: Jha, Sumit Kumar, et al.
Published: (2024)
by: Jha, Sumit Kumar, et al.
Published: (2024)
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
by: Gindra, Rushin H., et al.
Published: (2025)
by: Gindra, Rushin H., et al.
Published: (2025)
Single cell resolution 3D imaging and segmentation within intact live tissues
by: Paci, G., et al.
Published: (2025)
by: Paci, G., et al.
Published: (2025)
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism
by: Nan, Tianhang, et al.
Published: (2024)
by: Nan, Tianhang, et al.
Published: (2024)
Evolutionary Paradigms in Histopathology Serial Sections technology
by: Zhuang, Zhenfeng, et al.
Published: (2025)
by: Zhuang, Zhenfeng, et al.
Published: (2025)
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions
by: Martins, Nuno Pimpão, et al.
Published: (2023)
by: Martins, Nuno Pimpão, et al.
Published: (2023)
Histopathological study on goldfish (Carassius auratus) gonads exposed to tobacco smoke
by: Parsakhanghah, Ali
Published: (2024)
by: Parsakhanghah, Ali
Published: (2024)
Automated Coronary Arteries Labeling Via Geometric Deep Learning
by: Li, Yadan, et al.
Published: (2022)
by: Li, Yadan, et al.
Published: (2022)
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection
by: Krishna, Akhila, et al.
Published: (2024)
by: Krishna, Akhila, et al.
Published: (2024)
General surgery vision transformer: A video pre-trained foundation model for general surgery
by: Schmidgall, Samuel, et al.
Published: (2024)
by: Schmidgall, Samuel, et al.
Published: (2024)
A deep learning framework for glomeruli segmentation with boundary attention
by: Elhaminia, Behnaz, et al.
Published: (2026)
by: Elhaminia, Behnaz, et al.
Published: (2026)
Similar Items
-
Synthetic Privileged Information Enhances Medical Image Representation Learning
by: Farndale, Lucas, et al.
Published: (2024) -
A study on Deep Convolutional Neural Networks, transfer learning, and Mnet model for Cervical Cancer Detection
by: Sagor, Saifuddin, et al.
Published: (2025) -
TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying
by: Ge, Aaron, et al.
Published: (2024) -
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation
by: Gorade, Vandan, et al.
Published: (2023) -
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
by: Khan, Wasif, et al.
Published: (2025)