INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the present situation accurate breast cancer detection using automated algorithms is one of the most discussing issue. Despite the fact that a lot of effort has been put into addressing this issue, an exact answer has that the majority of existing datasets are unbalanced, which means that the number of occurrences of one class vastly outnumbers those of the others. In this paper, we proposed a framework based on the concept of transfer learning and segmentation to address this issue and focus on histopathological and imbalanced image classification. To increase the overall performance of the system, we will employ the Convolutional Neural Network model with segmentation and supplement it with many state-of-the-art methodologies. The learnt knowledge was applied to the target domain of histopathology pictures using the ImageNet dataset as the source domain
Keywords:
Breast cancer, histopathological images, transfer learning, CNN, VGG-19, UNet
Cite Article:
"Cancernet Classifier for Breast Cancer Classification Using Deep Neural Networks and U-NET segmentation", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 6, page no.75-82, June-2022, Available :http://www.ijnrd.org/papers/IJNRD2206009.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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