RETRACTED ARTICLE: Deep learning approaches to detect breast cancer: a comprehensive review

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MobileNetV2: Inverted Residuals and Linear Bottlenecks

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A Dataset for Breast Cancer Histopathological Image Classification

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Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer

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BACH: Grand challenge on breast cancer histology images

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Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

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Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts

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Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

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Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

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Computer vision for behaviour-based safety in construction: A review and future directions

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A New Database for Breast Research with Infrared Image

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Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

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Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis

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Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning

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An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm

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A Deep Learning Method for Breast Cancer Classification in the Pathology Images

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Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images

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Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare

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Computer-aided breast cancer detection and classification in mammography: A comprehensive review

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Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework

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MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images

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Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images

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Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

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An extended approach to the diagnosis of tumour location in breast cancer using deep learning

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Authenticating and securing healthcare records: A deep learning-based zero watermarking approach

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Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm

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Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization

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Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI

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Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis

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Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data

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Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosis

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Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer

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Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer

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Infrared Imaging for Human Thermography and Breast Tumor Classification using Thermal Images

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XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data

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Deep learning algorithms for the early detection of breast cancer: A comparative study with traditional machine learning

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Breast cancer classification using snapshot ensemble deep learning model and t-distributed stochastic neighbor embedding

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Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer

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Efficient Attentive U-Net for Fault Diagnosis and Predictive Maintenance of Photovoltaic Panels Through Infrared Thermography

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Novel intelligent exogenous neuro-architecture–driven machine learning approach for nonlinear fractional breast cancer risk system

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Artificial Intelligence (AI)-Assisted Treatment of Breast Cancer

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Multimodal Machine Learning Approaches for Early Detection and Classification of Breast Cancer Using Imaging and Genomic Data

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