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A review of literature on diagnosis of cancer using deep learning techniques
Author Name

Sagar K M, Sachitha M V, Shreyas K

Abstract

Cancer has a high death rate because of its aggressiveness, enormous metastatic potential, and heterogeneity (which results in chemotherapeutic resistance). One of the most common types of cancer that can affect both sexes and occur worldwide is lung and colon cancer. The quality of treatment and the survival rate of cancer patients can both be significantly increased by an early and precise diagnosis of these cancers. 25000 histopathological photos of lung and colon tissues, evenly divided into 5 groups, make up the dataset. The simultaneous integration of data from a wide variety of scales, from nuclear aberrations (O(0.1 m)) through cellular structures (O(10 m)) to the overall tissue architecture, is essential for histopathologic diagnosis. Normal cell growth follows a predictable pattern. When cancer develops, a collection of cells suddenly begins to expand haphazardly and uncontrollably, resulting in lumps or tumors. A malignant tumor can spread to other areas of the body and never cease growing. A high-fat, low-fiber diet is associated to colorectal cancer. It is a disease of the wealthy and is more common in wealthy nations. This cancer can cause diarrhea, abdominal, lower back, or bladder pain, as well as changes in bowel habits. Smoking causes 90% of lung cancer cases. Lung cancer risk has grown due to pollution in urban areas. A chronic cough, weight loss, and appetite loss are possible symptoms.

 

Key Words: Histopathological images, nuclear aberrations, tumor.

 

 



Published On :
2023-05-26

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