Detection and Analysis of Lung Cancer Using Radiomic Approach
Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, the ra
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Abstract Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, the radiomic approach is proposed for the process of detection and analysis of lung cancer due to its impressive prognostic power. This becomes possible with the advent of computer aided detection system that not only provides a cost effective technique but also provides a noninvasive provision. The main aspect of this approach relies on its ease of implementation over the different types of databases irrespective to the category of cancer. The precise detection and prediction is possible via radiomic approach, which becomes state-of-the-art technique for lung cancer analysis. In future, the radiomic approach would be employed along with the deep learning models in conjunction with the computer-aided detection system for better diagnosis purposes. Keywords Lung cancer features
Radiomic Segmentation Semantic and agnostic
1 Introduction In the past few years, a small word “Cancer” has become a massive public health problem around the world. It is a generic term used to represent a large group of diseases that can affect any part of the body [1–4]. One key feature of the cancer is the rapid production of cells that grow beyond their usual limits, which can spread Shallu (&) NITTTR, Chandigarh, India e-mail: [email protected] P. Nanglia S. Kumar MAU, Baddi, India A. K. Luhach Maharshi Dayanand University, Haryana, India © Springer Nature Singapore Pte Ltd. 2019 A. K. Luhach et al. (eds.), Smart Computational Strategies: Theoretical and Practical Aspects, https://doi.org/10.1007/978-981-13-6295-8_2
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14 Table 1 Mortality rates due to major cancer types by IARC, WHO
Shallu et al. Types of cancer
Deaths
Lung cancer Liver cancer Colorectal cancer Stomach cancer Breast cancer
1.69 million 788,000 774,000 754,000 5710
to other organs by invading in adjoining parts of the body (metastasizing) [1]. According to cancer research agency of World Health Organization (WHO) named as International Agency for Research on Cancer (IARC) reported 8.8 million deaths in 2015, in which the most common cause of deaths was due to the cancer of Lung, Liver, Colorectal, Stomach, Breast [2, 5–7]. The mortality due to lung cancer is very high as compared to other kinds of cancer species. Statistics related to cancer mortality is depicted in Table 1. In this paper, an approach “Radiomic” is discussed in detail, which assists in decision-making performed by Computer-Aided Diagnosis (CAD) system regarding the presence and types of cancer. Since database acts as a backbone in designing of any detection system, so a description of database used for cancer analysis, particularly for lung cancer is provided. The readers are referred to various links related to lung cancer database.
2 Lung Cancer Type and Database Lung cancer is a type of cancer which originates from the l
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