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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
AUTOMATIC DETECTION AND CLASSIFICATION OF BREAST CANCER USING THE TRANSFER-LEARNING TECHNIQUE.
Authors
B. Geethavani, R. Ganeswari, N. Hyndavi, V. Bharath Kumar, P.G. Hanumateja
Keywords
Deep learning, convolutional neural network (CNN), VGG19, Inception, Resnet, and dataset of breast cancer images.
Abstract
Cancer is one of the most deadly diseases. In addition, breast cancer is the most common cancer in women and can be fatal if untreated. Despite substantial improvements in medical technology over the years, a biopsy is still the only effective way to find breast cancer. Pathologists can detect cancer using microscopic histology images. Visualizing cancer is a challenging task that requires a lot of skill, creativity, and focus. Hence, a quicker and more accurate way of detecting breast cancer is needed. As a result of advancements in machine learning and image processing, numerous sorts of research are being conducted to create an efficient partially or totally computer monitored diagnosing system. In this study, invasive ductal carcinoma was diagnosed and classified utilising
IJCRT's Publication Details
Unique Identification Number - IJCRT2303943
Paper ID - 233650
Page Number(s) - h963-h968
Pubished in - Volume 11 | Issue 3 | March 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
B. Geethavani, R. Ganeswari, N. Hyndavi, V. Bharath Kumar, P.G. Hanumateja, "AUTOMATIC DETECTION AND CLASSIFICATION OF BREAST CANCER USING THE TRANSFER-LEARNING TECHNIQUE.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.h963-h968, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303943.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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