Breast Tumor Detection Using Classification Algorithm
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2021, Vol 9, Issue 3
Abstract
Breast cancer is the most common cancer in women. It is the leading cause of cancer death in developing countries and the second leading cause of cancer death in women in the United States, behind only lung cancer. Females are more likely to develop breast cancer. However, in a few instances, it is clear that males have also been affected. Breast cancer has been discovered [1]. Breast tumors may be either cancerous or non- cancerous. Benign tumors are easily treated with doctor-prescribed medications. Malignant tumors are a sign of a high risk of breast cancer and should be removed as soon as possible. Early identification and treatment of tumor lowers the risk of cancer-related death. The survival rate of breast cancer patients in America has been reported to be 90% in recent years, but it is as low as 60% in India [2]. The key cause of this shortcoming is late tumor diagnosis and classification, which causes treatment delays. Using machine learning to perform a task will reduce the workload of physicians and radiologists. According to research, doctors can only diagnose breast cancer with a 79 percent accuracy rate, while machines can diagnose it with a 91 percent accuracy rate. Early diagnosis is the best way to increase the chance of treatment and chance of survival.
Authors and Affiliations
Mitali, Aman Jatain, Swati Gupta
Keywords
Related Articles
- EP ID EP747326
- DOI 10.21276/ijircst.2021.9.3.4
- Views 31
- Downloads 0
A Deep Neural Network Approach to Detect and Classify Skin Cancer
Among all cancers, skin cancer is one of the serious disease which effects major population across the globe. If the detection and diagnosis would not happen in early stages it can be spread to other body parts rapidly f...
Simulation of Connecting Rod Using Finite Element Analysis
Numbers of connected rods are used in the assembly of petroleum engines, the task of connecting rod important of converting reciprocating motion of the piston into rotary motion of the crankshaft. In this work stress ana...
A New Approach of BLDC Motor Using Fuzzy Fractional Order PID
In order to manage the speed of brushless DC (BLDC) motors, this research presents a novel hybrid control method that simultaneously regulates the DC bus voltage of the inverter and the BLDC motor reference current. A fr...
Investigation of SIDA Virus (HIV) Images Using Interferometry and Speckle Techniques
We investigate the SIDA virus images using two different techniques. Multiple beam modulated interference is considered since it gives contrasted images compared with two beam interference. The phase information of the i...
Innovative Empirical Approach for Intrusion Detection Using ANN
Intrusion detection system based on Artificial Neural Network (ANN) is a very active field that detects normal or attack connection on the network and can improve the performance of Intrusion detection system (IDS), the...