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1 day ago WEB Dec 22, 2020 · A novel model that trains both texton representation and deep CNN representation for mass classification tasks is proposed, which can be integrated with …
› Improved PAA algorithm for …
DOI: 10.1016/j.cmpb.2024.108211 Corpus ID
› Figure 5 from A Novel Algori…
DOI: 10.1155/2020/8860011 Corpus ID
› A Novel Classification Schem…
This paper shows that the proposed classification scheme achieves a higher …
1 day ago The data used to support the findings of this study are available from the corresponding author upon request.
› Author: Qian Zhang, Yamei Li, Guohua Zhao, Panpan Man, Yusong Lin, Meiyun Wang
› Publish Year: 2020
1 week ago WEB Dec 22, 2020 · A novel method harnessing the complementary ability of fused rotation-invariant filters and deep learning for breast mass classification is proposed in this …
› Author: Qian Zhang, Yamei Li, Guohua Zhao, Panpan Man, Yusong Lin, Meiyun Wang
› DOI: 10.1155/2020/8860011
› Publish Year: 2020
› Publication: J Healthc Eng. 2020; 2020
1 day ago WEB Dec 22, 2020 · Convolutional neural networks (CNNs) can be used to assist in the classification of benign and malignant breast masses. A persistent problem in current …
6 days ago WEB Dec 1, 2022 · Our experimental results show that the proposed method outperforms other related breast cancer classification tasks and mammography diagnosis using the …
3 days ago WEB Jul 18, 2022 · Over years, breast cancer has remained the most frequently diagnosed non-skin cancer and the leading cause of death among females with a rate of 32% of total …
1 day ago WEB 2.3 SVM classifier. The SVM is an algorithm for the machine learning which analyses the classification data. It is a supervised method of learning, which separates data into …
1 week ago WEB Jul 12, 2016 · 2019. TLDR. A method for classifying breast tissues into normal and abnormal (i.e., cancerous) is proposed, which is based on a deep learning approach, …
4 days ago WEB Dec 29, 2023 · A Novel Algorithm for Breast Mass Classificatio n in Digital Mammography Based on Feature Fusion. Journal of Healthcare Engineering. 2020, 202 …
1 week ago WEB Nov 1, 2022 · Lévy et al. [26] input the ROIs of breast masses in the DDSM database and achieved considerable results. Meanwhile they confirmed that data augmentation …
5 days ago WEB Oct 28, 2022 · Download book PDF. Download book EPUB ... (2020) Deep learning algorithm for breast masses classification in mammograms. IET Image Proc …
3 days ago WEB May 29, 2020 · This paper proposes a novel ensemble classification method for breast tumor classification using machine learning classification methods. We evaluated the …
6 days ago WEB Nov 2, 2023 · 3.2 Classification Using Machine Learning Algorithms. Supervised learning (SL) and unsupervised learning (UL) are the two basic types of machine learning …
1 week ago WEB to help radiologists in breast cancer Benign/Malignant clas-sification [2, 3]. These works mainly focus on mass breast ultrasound images. However, besides breast masses, we …
1 week ago WEB The proposed novel Breast Mass Classification system named BMC has improved architecture based on a combination of k- mean clustering, Long Short-Term Memory …
1 week ago WEB Mar 1, 2023 · Breast cancer has become one of the most concerning cancers that are well known for its high incidence rate and mortality. Integration of novel deep learning …
1 week ago WEB Mar 1, 2023 · View PDF View article View in Scopus Google Scholar [3] M. Ahmed, ... Computer-aided classification of breast masses using speckle features of automated …
3 days ago WEB Mar 27, 2024 · To address this problem, a novel unsupervised breast cancer image classification model based on multiscale texture analysis and a dynamic learning …
2 days ago WEB Mammography is an important detection method of breast cancer, and classification of mammographic masses plays an important role in Computer-aided diagnosis (CAD) for …