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 A Breast Cancer Diagnosis System using Hybrid Case-based ...
Mammography is the most common modality for breast cancer detection and diagnosis and is often complemented by ultrasound and Magnetic Resonance Imaging (MRI). However, similarities between early signs of breast cancer and normal structures in these images make detection and diagnosis of breast cancer a difficult task....
Novel Breast Imaging and Machine Learning: Predicting ...
Breast cone-beam CT (CBCT) is a novel imaging technique providing true 3D images of the breast, with spatial resolution of up to 2.6 line pairs per millimeter and high contrast resolution, thereby enabling the detection of contrast differences of less than 1% [1–4].Compared with conventional breast imaging, such as mammography, CBCT shows superior diagnostic performance in the detection and ......
Breast Cancer: Conventional Diagnosis and Treatment ...
Breast cancer history dates back to around 1,500 years B.C. Ancient Egyptians were the first to report the disease more than 3,500 years ago. 1,2 The condition was described fairly accurately in both Edwin Smith 3 and George Ebers 4 papyri. 1,2 In 460 B.C., Hippocrates, the father of Western Medicine, described breast cancer as a humoral disease. 2,5 Hippocrates was the first to define the ...
Breast Cancer Diagnosis and Prognosis Via Linear ...
Breast cancer diagnosis using a multi-verse optimizer-based gradient boosting decision tree 24 March 2020 | SN Applied Sciences, Vol. 2, No. 4 A branch & bound algorithm to determine optimal cross-splits for decision tree induction
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