Cover Image

Adaptive Deep Learning for Breast Cancer Subtype Prediction Via Misprediction Risk Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheeraz, Gul, Chen, Qun, Feiyu, Liu, Fengjin, Zhou
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data
by: Shandiz, Amin Honarmandi
Published: (2025)

STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction
by: Zhou, Zhengbo, et al.
Published: (2025)

Deep Pathomic Learning Defines Prognostic Subtypes and Molecular Drivers in Colorectal Cancer
by: Wang, Zisong, et al.
Published: (2025)

MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion
by: Mondol, Raktim Kumar, et al.
Published: (2024)

Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
by: Chhetri, Bishal, et al.
Published: (2025)

$Δ$t-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction
by: Zhou, Zhengbo, et al.
Published: (2025)

MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
by: Zheng, Shunjie-Fabian, et al.
Published: (2025)

AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
by: Qu, Chongyu, et al.
Published: (2026)

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion
by: Mondol, Raktim Kumar, et al.
Published: (2024)

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification
by: Chiocchetti, Annalisa, et al.
Published: (2024)

Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
by: Lu, Feiyu, et al.
Published: (2025)

ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning
by: Xu, Ziqiang, et al.
Published: (2025)

Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data
by: Nitzan, Shir, et al.
Published: (2024)

LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening
by: Brandt, Johannes, et al.
Published: (2025)

Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
by: Bunnell, Arianna, et al.
Published: (2024)

Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024)

Analysis of Invasive Breast Cancer in Mammograms Using YOLO, Explainability, and Domain Adaptation
by: Adhikari, Jayan, et al.
Published: (2025)

XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2026)

On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
by: Sobrinho, Yasmin Rodrigues, et al.
Published: (2026)

MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation
by: Chen, Huangwei, et al.
Published: (2025)

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
by: Suxing, Liu, et al.
Published: (2025)

Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
by: Chegini, Mohaddeseh, et al.
Published: (2024)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
by: Zhou, Zhengbo, et al.
Published: (2024)

Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
by: Chen, Han, et al.
Published: (2025)

Spatial Multi-Task Learning for Breast Cancer Molecular Subtype Prediction from Single-Phase DCE-MRI
by: Zeng, Sen, et al.
Published: (2026)

A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
by: Luo, Luyang, et al.
Published: (2024)

An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion
by: Pour, Ehsan Sadeghi, et al.
Published: (2026)

LPNSR: Optimal Noise-Guided Diffusion Image Super-Resolution Via Learnable Noise Prediction
by: Huang, Shuwei, et al.
Published: (2026)

NexViTAD: Few-shot Unsupervised Cross-Domain Defect Detection via Vision Foundation Models and Multi-Task Learning
by: Mu, Tianwei, et al.
Published: (2025)

Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning
by: Pastori, Francesco, et al.
Published: (2026)

GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
by: Gao, Lin-Guo, et al.
Published: (2026)

Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion
by: Salem, Sepehr, et al.
Published: (2025)

Multi-View Hypercomplex Learning for Breast Cancer Screening
by: Lopez, Eleonora, et al.
Published: (2022)

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
by: Sobieski, Bartlomiej, et al.
Published: (2026)

Enhancing Breast Cancer Detection with Vision Transformers and Graph Neural Networks
by: Cai, Yeming, et al.
Published: (2025)

Exploration of Deep Learning Based Recognition for Urdu Text
by: Fazal, Sumaiya, et al.
Published: (2025)

Retrieval-based Disentangled Representation Learning with Natural Language Supervision
by: Zhou, Jiawei, et al.
Published: (2022)

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
by: Cui, Jiaqi, et al.
Published: (2025)

Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging
by: Shaik, Nagur Shareef, et al.
Published: (2026)

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
by: Amer, Mohammed, et al.
Published: (2025)