PCOS Detection and Breast Cancer Detection
Lavanya Kongari*1, Mayuri Kadam*2, Gayatri Takale*3, Rohit Patil*4 Guidance Of: Prof. Kirti Walke
Undergrad. Student, Dept. of Information Technologies
SKN Sinhgad Institute of Technology & Science, Lonavala, Maharashtra
ABSTRACT
PCOS Detection:
Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder that affects people with ovaries, typically during their reproductive years. Detecting PCOS is crucial for timely intervention and management. PCOS detection involves a multifaceted approach, encompassing both clinical and laboratory methods. Clinical assessment of PCOS often begins with a comprehensive medical history, physical examination, and evaluation of symptoms, such as irregular menstruation, excess hair growth, and acne. Transvaginal ultrasound is commonly employed to visualize the ovaries and identify the characteristic cysts. Blood tests, measuring hormone levels like testosterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH), aid in the diagnosis. Additionally, insulin resistance and glucose tolerance tests may be conducted, as PCOS is frequently associated with metabolic disturbances.
Breast Cancer Detection:
Breast cancer is a significant global health concern, and early detection is essential for improved prognosis and survival rates. Various techniques are employed for breast cancer detection, combining clinical assessment, imaging, and biopsy procedures.Clinical breast examination involves a physical assessment by a healthcare professional to identify any palpable lumps, changes in breast shape, or skin abnormalities. Mammography, a low-dose X-ray, is a primary imaging modality for breast cancer screening. Other imaging techniques, such as ultrasound and magnetic resonance imaging (MRI), are used for supplemental evaluation. In cases where abnormalities are detected, a biopsy is performed to confirm the presence of cancer cells. Biopsies may include fine-needle aspiration, core needle biopsy, or surgical biopsy, providing definitive evidence of malignancy. Advances in technology, such as digital mammography and the development of artificial intelligence algorithms for image analysis, continue to enhance the precision and efficiency of breast cancer detection, thereby contributing to early diagnosis and effective treatment.
