Improved Cancer Detection method using AI

Breast Cancer is the most widely recognized disease among women on the planet. It represents 25% of all malignant growth occurrences and impacted more than 2.1 million individuals around 2015 alone. It begins whenever cells within Breast begin to grow out of control. The particular cells typically structure growths which should be visible through X-beam or on the other hand perceived as protuberances within Breast region. Timely determination altogether builds possibilities for endurance. Every vital difficulty opposed to discovery acts as the manner by which to order growths into harmful (dangerous) or benign(non-malignant). A growth is thought of as dangerous in the event that the cells can develop into surrounding tissues or spread too far off regions of the body. A harmless growth doesn't attack close to tissue nor spread to different regions of the body the manner in which carcinogenic tumours can. Yet, harmless tumours are not genuine assuming they push on crucial structures like veins or nerves.AI procedures will decisively work fair and square in finding Breast malignant growth. Research demonstrates the way that refined specialists can recognize threatening development by 79% accuracy, while a 91% ( occasionally up to 97%) accuracy can be attained with Machine Learning systems.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/raeeucci63961.2025.11048308
Primary Topic
Brain Tumor Detection and Classification
Type
article
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article

Improved Cancer Detection method using AI

C. T. Manimegalai, K. Kalimuthu, J. Ramachandru
Brain Tumor Detection and Classification
article

Improved Cancer Detection method using AI

C. T. Manimegalai, K. Kalimuthu, J. Ramachandru
article en

Abstract

Breast Cancer is the most widely recognized disease among women on the planet. It represents 25% of all malignant growth occurrences and impacted more than 2.1 million individuals around 2015 alone. It begins whenever cells within Breast begin to grow out of control. The particular cells typically structure growths which should be visible through X-beam or on the other hand perceived as protuberances within Breast region. Timely determination altogether builds possibilities for endurance. Every vital difficulty opposed to discovery acts as the manner by which to order growths into harmful (dangerous) or benign(non-malignant). A growth is thought of as dangerous in the event that the cells can develop into surrounding tissues or spread too far off regions of the body. A harmless growth doesn't attack close to tissue nor spread to different regions of the body the manner in which carcinogenic tumours can. Yet, harmless tumours are not genuine assuming they push on crucial structures like veins or nerves.AI procedures will decisively work fair and square in finding Breast malignant growth. Research demonstrates the way that refined specialists can recognize threatening development by 79% accuracy, while a 91% ( occasionally up to 97%) accuracy can be attained with Machine Learning systems.

SRM Institute of Science and Technology (IN)
Good health and well-being
Openalex Percentile: Top 80%
Brain Tumor Detection and Classification
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Improved Cancer Detection method using AI — C. T. Manimegalai, K. Kalimuthu, et al. · (2025) | TGRS Research Map | TGRS