• Jyoti
• Harjinder Kaur

: Cancer remains one of the most formidable challenges in modern medicine, with its devastating impact on lives worldwide. Early and accurate diagnosis is paramount for effective treatment and improved patient outcomes. In this context, the convergence of machine learning and cancer diagnosis heralds a new era in healthcare. This paper embarks on an odyssey through the intricate landscape of machine learning applications in cancer diagnosis, exploring its potential, challenges, and transformative effects on the field. Our journey begins with an in-depth review of machine learning algorithms and techniques that have been instrumental in revolutionizing cancer diagnosis. We delve into the realm of supervised and unsupervised learning, reinforcement learning, and deep learning, dissecting their unique contributions to the early detection, classification, and prognosis of various cancer types. One of the most promising frontiers of this odyssey lies in the fusion of machine learning with medical imaging. We navigate through the intricate process of image-based cancer diagnosis, unraveling the secrets behind convolutional neural networks (CNNs) and their unparalleled ability to extract nuanced information from radiographic images. Through real-world case studies, we illuminate how these algorithms have transformed medical imaging into a powerful diagnostic tool, providing clinicians with a new lens to detect malignancies at their incipient stages. However, this odyssey is not without its challenges. We confront the ethical and privacy concerns surrounding the use of patient data for machine learning-driven diagnosis, emphasizing the importance of data security and patient consent. Furthermore, we navigate the intricate terrain of model interpretability, seeking ways to demystify machine learning decisions to gain the trust of medical professionals and patients alike.

Machine-Learning, Medical-Imaging, Early-Detection, Tumor-Classification, Feature-Extraction, Deep-Learning, Radiomics, Image-Analysis, Predictive Modeling

"A Machine Learning Odyssey in Cancer Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.b38-b42, November-2023, Available :http://www.jetir.org/papers/JETIR2311107.pdf

"A Machine Learning Odyssey in Cancer Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppb38-b42, November-2023, Available at : http://www.jetir.org/papers/JETIR2311107.pdf