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1 week 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 …
› A Novel Classification Schem…
This paper shows that the proposed classification scheme achieves a higher …
1 day 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 week 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 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 …
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 …
5 days 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 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 …
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 …
3 days ago Web Jun 18, 2010 · This paper shows that the proposed classification scheme achieves a higher accuracy than those schemes using the individual classifiers in single-view, and …
1 week ago Web May 25, 2022 · Breast cancer is one of the most frequent cancers in women, and it has a higher mortality rate than other cancers. As a result, early detection is critical. In …
1 week ago Web Oct 28, 2022 · Download book PDF. Download book EPUB. Breast Mass Classification Using Convolutional Neural Network. Varsha Nemade 13, ... Gnanasekaran VS, Joypaul …
6 days 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 Feb 15, 2024 · Breast cancer has the highest incidence rate of 40.6 per 100,000 population among all cancers in Ethiopia in 2020 1. Due to the lack of therapy and late diagnosis, …
1 week ago Web 4 days ago · a digitized image of a breast mass’s fine needle aspirate (FNA), ... Developing a novel machine learning-based classification scheme for predict-ing spcs in breast …
4 days 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 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 …
4 days ago Web Jan 1, 2022 · 4. Conclusion and future works. This paper presents a novel approach of mammogram images classification method using the differential evolution algorithm for …
1 week 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 …
1 week 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 …
1 week ago Web Apr 8, 2023 · Download book PDF. Download book EPUB. ... I., Singh, S.K., Singh, R., Kumar, S.: Efficient loop unrolling factor prediction algorithm using machine learning …