ncer-Detection-using-Convolutional-Neural-Network
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上传日期：2022-04-05 10:37:21
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sh-1993
说明： ...以及图像处理技术。使用的编程语言是Python，因为它包含每个...的各种库...，
(The dataset used in this project is microscopic biopsy images of breast cancer and microscopic biopsy images of non-cancerous cells derived from the Breast Cancer Histopathological Database (BreakHis). Machine learning and deep learning algorithms are employed, along with image processing techniques. The programming language used is Python, as)
文件列表:
Documentation.pdf (1583568, 2022-04-05)
PPT.pdf (1086530, 2022-04-05)
bc1.ipynb (2934214, 2022-04-05)
bc2.ipynb (3006938, 2022-04-05)
# Breast-Cancer-Detection-using-Convolutional-Neural-Network
The dataset used in this project is microscopic biopsy images of breast cancer and microscopic biopsy images of non-cancerous cells derived from the Breast Cancer Histopathological Database (BreakHis). Machine learning and deep learning algorithms are employed, along with image processing techniques. The programming language used is Python, as it contains various libraries for each step, from image preprocessing to classification. For the detection of breast cancer, two distinct CNN architectures were compared. CNN Model 1 employs MaxPooling2D to create three convolution layers with 16, 32, and 64 kernels. CNN Model 2 uses GlobalAveragePooling2D, trained over 30 epochs with a batch size of 16.
DATASET
https://web.inf.ufpr.br/vri/databases/breast-cancer-histopathological-database-breakhis/
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