:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Hai, Zheng, Chushan, Pan, Jiawei, Zhou, Yuanpin, Liu, Qiongting, Zhang, Xiang, Shen, Jun, Lu, Yao
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.17528
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes
by: Jiang, Hai, et al.
Published: (2025)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections
by: Ling, Xitong, et al.
Published: (2024)

WeGA: Weakly-Supervised Global-Local Affinity Learning Framework for Lymph Node Metastasis Prediction in Rectal Cancer
by: Gao, Yifan, et al.
Published: (2025)

LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
by: Dong, Yaoxian, et al.
Published: (2025)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)

Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
by: Wu, Chengyu, et al.
Published: (2024)

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
by: Yu, Yongrui, et al.
Published: (2024)

LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features
by: Guo, Weidong, et al.
Published: (2024)

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
by: Qu, Jingguo, et al.
Published: (2025)

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
by: Wang, Jiamu, et al.
Published: (2025)

Breast Cancer Image Classification Method Based on Deep Transfer Learning
by: Wang, Weimin, et al.
Published: (2024)

CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion
by: Guo, Weidong, et al.
Published: (2025)

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)

FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
by: Hao, Jiacheng, et al.
Published: (2025)

Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)

Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
by: Lazebnik, Teddy, et al.
Published: (2023)

Adversarially Robust Feature Learning for Breast Cancer Diagnosis
by: Hao, Degan, et al.
Published: (2024)

Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
by: Hussain, Sadam, et al.
Published: (2024)

SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
by: Fu, Jia, et al.
Published: (2026)

Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
by: Abbasniya, Mohammad Reza, et al.
Published: (2022)

Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
by: Rawat, Richa, et al.
Published: (2025)

Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
by: Pan, Hongyi, et al.
Published: (2025)

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
by: Luo, Yang, et al.
Published: (2025)

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
by: Brown-Mulry, Beatrice, et al.
Published: (2025)

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
by: Fang, Zijie, et al.
Published: (2023)

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
by: Fröhlich, Alek, et al.
Published: (2024)

An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
by: Chaudhary, Neil, et al.
Published: (2025)

Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
by: Sengodan, Naren
Published: (2024)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)

Small Drone Classification with Light CNN and New Micro-Doppler Signature Extraction Method Based on A-SPC Technique
by: Park, Junhyeong, et al.
Published: (2020)

A Calibration Method for Indirect Time-of-Flight Cameras to Eliminate Internal Scattering Interference
by: Du, Yansong, et al.
Published: (2025)

Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
by: Kang, Solha, et al.
Published: (2025)

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification
by: Panambur, Adarsh Bhandary, et al.
Published: (2024)

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
by: Gao, Feng, et al.
Published: (2024)