scholar.google.com › citations
In this study, we introduce a novel hybrid deep learning and machine learning-based CBIR system that uses a transfer learning technique.
Missing: Mammogram | Show results with:Mammogram
... image collection is extremely important for precise disease analysis, research and education in the domain of medicine. Content based image retrieval (CBIR) ...
Oct 15, 2024 · This study seeks to introduce a novel hybrid model that makes use of image-preprocessing techniques and deep-learning algorithms on mammograms to enhance the ...
Missing: Retrieval. | Show results with:Retrieval.
Nov 2, 2023 · Benign and malignant tumor classification from mammography images is proposed based on image processing and machine learning. In this ...
This paper proposes an approach to develop a computer-aided classification system for cancer detection using Gray Level Run Length Matrix (GLRLM). The proposed ...
T. Justin Jose, P. Mythilli: A Novel Hybrid Model for Content Based Mammogram Image Retrieval. Int. J. Comput. Their Appl. 17(1): 34-40 (2010).
Apr 4, 2023 · In this study, we introduce a novel hybrid deep learning and machine learning-based CBIR system that uses a transfer learning technique and is ...
Missing: Mammogram | Show results with:Mammogram
This article introduces a hybrid deep learning method with recursive feature elimination for categorizing histopathology images of breast lesions as benign or ...
Missing: Retrieval. | Show results with:Retrieval.
Jun 19, 2021 · In this paper, a clustering method is presented for the detection of breast cancer tumor locations and areas.
Missing: Retrieval. | Show results with:Retrieval.
Dec 9, 2024 · Breast cancer can be detected earlier using mammography. This model is based on a technique for mammography. segmentation ...
Missing: Retrieval. | Show results with:Retrieval.