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Classification of Breast Cancer Cytological Images using Transfer Learning and Deep Convolutional Neural Networks Mohammad Amin ShamshiriA thesis in The Department of Computer Science and Software
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How to fill out breast cancer classification by

01
Start by collecting all relevant medical information of the patient including imaging results, biopsy reports, and pathology reports.
02
Use the TNM classification system to determine the stage of the breast cancer based on the size of the tumor, lymph node involvement, and presence of metastasis.
03
Consider other factors such as hormone receptor status, HER2 status, and tumor grade to further classify the breast cancer.
04
Consult with a multidisciplinary team to discuss treatment options based on the classification of breast cancer.

Who needs breast cancer classification by?

01
Patients diagnosed with breast cancer
02
Medical professionals involved in the treatment and management of breast cancer patients
03
Researchers studying breast cancer classifications and treatment outcomes
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Breast cancer classification is typically done by pathologists based on the characteristics of the cancer cells.
Healthcare professionals or institutions involved in diagnosing and treating breast cancer patients are required to file breast cancer classification.
To fill out breast cancer classification, healthcare professionals need to provide detailed information about the characteristics of the cancer cells, staging of the cancer, and other relevant details.
The purpose of breast cancer classification is to help guide treatment decisions, track outcomes, and contribute to research on breast cancer.
Information such as the type of breast cancer, size of the tumor, grade of the cancer cells, lymph node involvement, and hormone receptor status must be reported on breast cancer classification.
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