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ML/AI Image Classifier for Skin Cancer Detection

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  Skin cancer is one of the most active types of cancer in the present decade.  As the skin is the body’s largest organ, the point of considering skin cancer as the most common type of cancer among humans is understandable . It is generally classified into two major categories: nonmelanoma (benign) and melanoma (malignant) skin cancer Melanoma type of cancers can only be cured if diagnosed early; otherwise, they spread to other body parts and lead to the victim’s painful death.  Therefore, the critical factor in skin cancer treatment is early diagnosis.  Yet, diagnoses is still a visual process , which relies on the long-winded procedure of clinical screenings, followed by dermoscopic analysis, and then a biopsy and finally a histopathological examination. This process  easily  takes months and the need for many medical professionals  and still  is only ~77% accurate. Current methods using AI and Deep Learning to diagnose lesions show  potential to spare time and mitigate errors- savi

Supervised ML/AI Breast Cancer Diagnostics - The Power of HealthTech

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  Problem Breast cancer   (BC) is the uncontrollable growth of malignant cells in the breasts [1]. BC is the most common cancer with the highest mortality rate.  The exact cause of breast cancer is unknown, but some women have a higher risk than others. This includes women with a personal or family history of breast cancer and women with certain gene mutations. Since cancer cells can metastasize, or spread to other parts of the body, it’s important to recognize the symptoms of BC early on. The sooner you receive a BC Diagnosis (BCD) and start treatment, the better your outlook [2].   Conventional BCD involves imaging tests to look for BC spread. Imaging tests use x-rays, magnetic fields, sound waves, or radioactive substances to create pictures of the inside of your body. Imaging tests might be done for a number of reasons including [2]: To look at suspicious areas that might be cancer To learn how far cancer might have spread To help determine if treatment is work