Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images
Fuente:
arXiv
Saved in:
| Main Authors: | Afshin, Pouya, Helminiak, David, Niu, Tianling, Jorns, Julie M., Yen, Tina, Yu, Bing, Ye, Dong Hye |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2024)
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2024)
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)
by: Afshin, Pouya, et al.
Published: (2025)
Characterizing pseudoangiomatous stromal hyperplasia ( PASH ) of the breast
by: Rahul Koshy, et al.
Published: (2026)
by: Rahul Koshy, et al.
Published: (2026)
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
by: Tafavvoghi, Masoud, et al.
Published: (2024)
by: Tafavvoghi, Masoud, et al.
Published: (2024)
Continuous latent representations for modeling precipitation with deep learning
by: Radhakrishnan, Gokul, et al.
Published: (2024)
by: Radhakrishnan, Gokul, et al.
Published: (2024)
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
by: Ahmadi, Mahdie, et al.
Published: (2024)
by: Ahmadi, Mahdie, et al.
Published: (2024)
Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification.
by: Omran, Mahmoud M, et al.
Published: (2025)
by: Omran, Mahmoud M, et al.
Published: (2025)
Interpretable breast cancer classification using CNNs on mammographic images
by: Balve, Ann-Kristin, et al.
Published: (2024)
by: Balve, Ann-Kristin, et al.
Published: (2024)
Using convolutional neural networks for the classification of breast cancer images
by: Bonnet, Eric
Published: (2021)
by: Bonnet, Eric
Published: (2021)
Learned representation-guided diffusion models for large-image generation
by: Graikos, Alexandros, et al.
Published: (2023)
by: Graikos, Alexandros, et al.
Published: (2023)
Extinction profiles for the Sobolev critical fast diffusion equation in bounded domains. I. One bubble dynamics
by: Jin, Tianling, et al.
Published: (2024)
by: Jin, Tianling, et al.
Published: (2024)
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
by: Xiao, MingXuan, et al.
Published: (2024)
by: Xiao, MingXuan, et al.
Published: (2024)
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
by: Rajoli, Hossein, et al.
Published: (2024)
by: Rajoli, Hossein, et al.
Published: (2024)
Regularity and classification of the free boundary for a Monge-Ampère obstacle problem
by: Jin, Tianling, et al.
Published: (2025)
by: Jin, Tianling, et al.
Published: (2025)
A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images
by: R. Deiva Nayagam, et al.
Published: (2024)
by: R. Deiva Nayagam, et al.
Published: (2024)
Stability of the separable solutions for a nonlinear boundary diffusion problem
by: Jin, Tianling, et al.
Published: (2022)
by: Jin, Tianling, et al.
Published: (2022)
Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)
by: Wu, Yihang, et al.
Published: (2026)
Surface guided ring gantry radiotherapy in deep inspiration breath hold for breast cancer patients
by: Mustafa Kadhim, et al.
Published: (2024)
by: Mustafa Kadhim, et al.
Published: (2024)
Infrared thermal images using PCSAN‐Net‐DBOA: An approach of breast cancer classification
by: S. M. Vijayarajan, et al.
Published: (2024)
by: S. M. Vijayarajan, et al.
Published: (2024)
A novel deep learning model with transformer architectures to enable multi‐scale whole genome sequence analysis for Alzheimer's disease dementia prediction
by: Eun Hye Lee, et al.
Published: (2025)
by: Eun Hye Lee, et al.
Published: (2025)
Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning‐based techniques
by: Priyanka Mahajan, et al.
Published: (2024)
by: Priyanka Mahajan, et al.
Published: (2024)
Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches
by: Silina, Karina, et al.
Published: (2024)
by: Silina, Karina, et al.
Published: (2024)
Improving text-conditioned latent diffusion for cancer pathology
by: Rao, Aakash Madhav, et al.
Published: (2024)
by: Rao, Aakash Madhav, et al.
Published: (2024)
KAN-Mixers: a new deep learning architecture for image classification
by: Canuto, Jorge Luiz dos Santos, et al.
Published: (2025)
by: Canuto, Jorge Luiz dos Santos, et al.
Published: (2025)
A training regime to learn unified representations from complementary breast imaging modalities
by: Sharma, Umang, et al.
Published: (2024)
by: Sharma, Umang, et al.
Published: (2024)
Pure tone audiogram classification using deep learning techniques
by: Zhiyong Dou, et al.
Published: (2024)
by: Zhiyong Dou, et al.
Published: (2024)
Intelligent nano‐platforms in breast cancer therapy: Current advances and future perspectives
by: Tina Rahimi, et al.
Published: (2026)
by: Tina Rahimi, et al.
Published: (2026)
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
by: Guha, Dibyasree, et al.
Published: (2024)
by: Guha, Dibyasree, et al.
Published: (2024)
Statistically guided deep learning
by: Kohler, Michael, et al.
Published: (2025)
by: Kohler, Michael, et al.
Published: (2025)
Laser Measurement of Anomalous Electron Diffusion in a Crossed-Field Plasma
by: Roberts, Parker J., et al.
Published: (2023)
by: Roberts, Parker J., et al.
Published: (2023)
Tissue classification from raw diffusion‐weighted images using machine learning
by: Guangyu Dan, et al.
Published: (2025)
by: Guangyu Dan, et al.
Published: (2025)
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
Automatic detection of pitch correction in singing using deep learning image classification
by: Pichler, David
Published: (2025)
by: Pichler, David
Published: (2025)
Performance of GAN-based augmentation for deep learning COVID-19 image classification
by: Fedoruk, Oleksandr, et al.
Published: (2023)
by: Fedoruk, Oleksandr, et al.
Published: (2023)
Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images
by: Deshpande, Ajinkya, et al.
Published: (2024)
by: Deshpande, Ajinkya, et al.
Published: (2024)
Genesis of baryon and dark matter asymmetries through ultraviolet scattering freeze-in
by: Asadi, Pouya, et al.
Published: (2025)
by: Asadi, Pouya, et al.
Published: (2025)
Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning
by: Daniel O Macaulay, et al.
Published: (2025)
by: Daniel O Macaulay, et al.
Published: (2025)
An EEG data fusion approach based on deep learning for brain motor image classification
by: Fedia, Arfaoui, et al.
Published: (2022)
by: Fedia, Arfaoui, et al.
Published: (2022)
Documented Observations of Coherent Self-Reference in Large Language Models
by: Rasouli, Afshin
Published: (2025)
by: Rasouli, Afshin
Published: (2025)
Documented Observations of Coherent Self-Reference in Large Language Models
by: Rasouli, Afshin
Published: (2025)
by: Rasouli, Afshin
Published: (2025)
Similar Items
-
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2024) -
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025) -
Characterizing pseudoangiomatous stromal hyperplasia ( PASH ) of the breast
by: Rahul Koshy, et al.
Published: (2026) -
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
by: Tafavvoghi, Masoud, et al.
Published: (2024) -
Continuous latent representations for modeling precipitation with deep learning
by: Radhakrishnan, Gokul, et al.
Published: (2024)