RSDCNet: An efficient and lightweight deep learning model for benign and malignant pathology detection in breast cancer

RSDCNet: An efficient and lightweight deep learning model for benign and malignant pathology detection in breast cancer

Background Breast cancer is a leading malignant tumor among women globally, with its pathological classification into benign or malignant directly influencing treatment strategies and prognosis. Traditional diagnostic methods, reliant on manual interpretation, are not only time-intensive and subject...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yuan Liu, Haipeng Li, Zhu Zhu, Chen Chen, Xiaojing Zhang, Gongsheng Jin, Hongtao Li
Format:	Article
Language:	English
Published:	SAGE Publishing 2025-04-01
Series:	Digital Health
Online Access:	https://doi.org/10.1177/20552076251336286
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours
by: Guoxiu Lu, et al.
Published: (2024-07-01)

Differentiation of benign and malignant breast lesions by ultrasound localization microscopy
by: Jia Li, et al.
Published: (2025-06-01)

Ultrasound viscoelastic imaging in differentiation of benign and malignant breast tumors
by: QIN Yu, LI Cheng, HUA Qing, ZHANG Huiting, JIA Wanru, DONG Yijie, ZHOU Jianqiao, XIA Shujun
Published: (2025-04-01)

Predictors of hypocalcaemia and hypoparathyroidism in patients undergoing thyroidectomy for benign and malignant pathologies
by: Jino Johns Lalitha, et al.
Published: (2024-11-01)

Correction: Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours
by: Guoxiu Lu, et al.
Published: (2025-06-01)

Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model
by: Baoqin Liu, et al.
Published: (2025-06-01)

A Lightweight Multi-Frequency Feature Fusion Network with Efficient Attention for Breast Tumor Classification in Pathology Images
by: Hailong Chen, et al.
Published: (2025-07-01)

Application value of a deep learning model based on 3D ultrasound videos in assisting radiologists of different experience levels to differentiate benign and malignant breast masses
by: GUO Yuqing, WANG Changyan, LIU Yinchun, PANG Yun, ZHU Xia, GE Rui, LI Weiping, ZHANG Qi, CHEN Lin
Published: (2025-06-01)

Assessment of Diagnostic Accuracy of Digital Breast Tomosynthesis in Distinguishing Malignant and Benign Breast Lesions
by: Kanza Afzal, et al.
Published: (2024-01-01)

Evaluation of Features in Probably Benign and Malignant Nonmass Enhancement in Breast MRI
by: Nasrin Ahmadinejad, et al.
Published: (2024-01-01)

Stromal Fibrosis of the Breast: A Spectrum of Benign to Malignant Imaging Appearances
by: Lara Nassar, et al.
Published: (2019-01-01)

Benign and malignant breast lesions in children and adolescents - diagnostic and therapeutic approach
by: Patrycja Sosnowska-Sienkiewicz, et al.
Published: (2024-10-01)

Cross-ViT based benign and malignant classification of pulmonary nodules.
by: Qinfang Zhu, et al.
Published: (2025-01-01)

Incidentally detected breast lesions: a pictorial essay of malignant and benign findings
by: Bruna Mayumi Takaki Tachibana, et al.
Published: (2025-06-01)

Diagnostic value of BI-RADS categories in the management of patients with benign breast pathology
by: G. P. Korzhenkova
Published: (2017-02-01)

A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis
by: Jingxiang Sun, et al.
Published: (2025-03-01)

Diagnostic role of shear wave elastography in differentiating benign from malignant breast masses
by: Zainab Mahmoud Sayed Mahmoud, et al.
Published: (2025-08-01)

Epithelial – mesenchymal transition markers, proliferation markers, and cytokine secretion in breast tissue in malignant and benign breast diseases
by: A. I. Autenshlyus, et al.
Published: (2024-01-01)

Innovative integration of automated breast volume scan and ultrasound elastography for enhanced differentiation of benign and malignant breast lesions
by: Lamei Zhang, et al.
Published: (2025-05-01)

Value of real-time tissue elastography diffusion quantitative analysis combined with tumor markers for differential diagnosis of benign and malignant breast nodules
by: Zhu Ling, et al.
Published: (2024-01-01)

Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks
by: Yuan Wang, et al.
Published: (2025-03-01)

The Role of Apparent Diffusion Coefficient in Differentiating Benign and Malignant Endometrial Pathologies: A Prospective Single-Center Study
by: Poonam Sherwani, et al.

The application of multimodal ultrasound examination in the differential diagnosis of benign and malignant breast lesions of BI-RADS category 4
by: Chunling Li, et al.
Published: (2025-06-01)

Illuminating breast cancer malignancies: Lightweight histopathology computer vision classifier for precise breast cancer screening
by: Zhijie Wang, et al.
Published: (2025-06-01)

Advanced lightweight deep learning vision framework for efficient pavement damage identification
by: Shuai Dong, et al.
Published: (2025-04-01)

Differential expression of cytokines and vitamin D in benign and malignant thyroid diseases
by: Huimin Li, et al.
Published: (2025-07-01)

Mechanisms of osteopontin-stabilized amorphous calcium phosphate calcification in benign and pre-malignant breast disease
by: Mayandi Sivaguru, et al.
Published: (2025-07-01)

Research on the application of distinguishing between benign and malignant breast nodules using MRI and US radiomics
by: Yifan Liu, et al.
Published: (2025-07-01)

Clinicopathological features of cranial-nasal-orbital communicating lesions and diagnostic indicators for differentiating benign and malignant neoplasms
by: Meng Xie, et al.
Published: (2025-07-01)

RASGEF1C methylation for the distinguishment and classification of benign and malignant thyroid tumors
by: Wenkang Yu, et al.
Published: (2025-07-01)

Difference in fecal and oral microbiota between pancreatic cancer and benign/low-grade malignant tumor patients
by: Pengyu Li, et al.
Published: (2024-12-01)

Fibromatosis with aggressive demeanor: Benign impersonator of malignancy
by: Naveen Kumar, et al.
Published: (2021-03-01)

Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning
by: Zhixiang Wang, et al.
Published: (2025-01-01)

DBN Classifier for Classification of Benign and Malignant Solitary Pulmonary Nodule
by: LIU Lu, et al.
Published: (2018-06-01)

A Composite Index for Distinguishing Benign and Malignant Obstructive Jaundice
by: Peng H, et al.
Published: (2024-11-01)

The Contribution of Bone Scintigraphy in benign bone pathology
by: Assia Seddouki, et al.
Published: (2024-04-01)

Current progress and future trends of clinical trials of CAR-T cell therapy for triple-negative breast cancer
by: Haipeng Li, et al.
Published: (2025-05-01)

Machine-learning models for differentiating benign and malignant breast masses: Integrating automated breast volume scanning intra-tumoral, peri-tumoral features, and clinical information
by: Meixue Dai, et al.
Published: (2025-04-01)

Ultrasonic Image Processing for the Classification of Benign and Malignant Breast Tumors: Comparative Study of Convolutional Neural Network Architectures
by: Erick Acuña Chambi, et al.
Published: (2025-01-01)

Diagnostic Accuracy of Diffusion Weighted Imaging in Differentiating Benign and Malignant Breast Lesions: A Cross-Sectional Study
by: Srestha Khan, et al.
Published: (2024-11-01)