ArticleFrontiers in oncology2022
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Breast Cancer Detection via Multi-Tiered Self-Contrastive Learning in Microwave Radiometric Imaging.Diagnostics (Basel, Switzerland) · 2025Article
- Innovative breast cancer detection using a segmentation-guided ensemble classification framework.Biomedical engineering letters · 2025Article
- CSAMDT: Conditional Self Attention Memory-Driven Transformers for Radiology Report Generation from Chest X-Ray.Journal of imaging informatics in medicine · 2024Article
- Breast Cancer Diagnosis Using Virtualization and Extreme Learning Algorithm Based on Deep Feed Forward Networks.Biomedical engineering and computational biology · 2024Article
- Multi-Instance Classification of Breast Tumor Ultrasound Images Using Convolutional Neural Networks and Transfer Learning.Bioengineering (Basel, Switzerland) · 2023Article
- Graph neural network-based breast cancer diagnosis using ultrasound images with optimized graph construction integrating the medically significant features.Journal of cancer research and clinical oncology · 2023Article
- Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer.Heliyon · 2023Review
- Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization.Diagnostics (Basel, Switzerland) · 2023Article
- A Novel Bioinspired Algorithm for Mixed and Incomplete Breast Cancer Data Classification.International journal of environmental research and public health · 2023Article
- A convolutional neural network for face mask detection in IoT-based smart healthcare systems.Frontiers in physiology · 2023Article
- Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care.AIMS public health · 2023Review
- A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms.Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Breast cancer is the most menacing cancer among all types of cancer in women around the globe. Early diagnosis is the only way to increase the treatment options which then decreases the death rate and increases the chance of survival in patients. However, it is a challenging task to differentiate abnormal breast tissues from normal tissues because of their structure and unclear boundaries. Therefore, early and accurate diagnosis and classification of breast lesions into malignant or benign lesions is an active domain of research. Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data
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