Lung cancer remains one of the leading causes of mortality worldwide. Early detection is crucial for improving patient survival rates. Artificial Intelligence (AI) has emerged as a powerful tool in the medical field, enhancing diagnostic accuracy and efficiency. This paper explores AI-based techniques for lung cancer detection, including machine learning (ML), deep learning (DL), and…
Lung cancer, including both Non-Small Cell Lung Cancer (NSCLC) and Small Cell Lung Cancer (SCLC), presents with diverse radiographic features that are crucial for accurate detection and classification. NSCLC includes subtypes such as adenocarcinoma, which typically appears as peripheral nodules, squamous cell carcinoma, which is often central and associated with cavitation, and large cell carcinoma,…
This study investigated stress and job satisfaction among IT employees working in Coimbatore City, with a focus on the impact of demographic variables such as age and years of experience in the IT industry. A questionnaire was administered to 150 IT professionals to assess their agreement with statements related to stress and job satisfaction. The…
The integration of artificial intelligence (AI) into supply chain management (SCM) has revolutionized healthcare logistics, particularly in the early detection and eradication of lung cancer. AI-driven technologies such as machine learning (ML), deep learning, and predictive analytics enhance efficiency in the procurement, distribution, and deployment of diagnostic tools and treatment resources. This paper explores the…
Lung cancer is a major public health issue worldwide, and its early detection remains crucial for increasing survival rates. However, rural women are often at a disadvantage when it comes to both awareness and access to medical care for lung cancer. This paper explores the level of awareness regarding lung cancer and the importance of…
By utilizing algorithms and machine learning models, AI can process vast amounts of data, recognize patterns, and make predictions that assist healthcare professionals in making more accurate diagnoses and treatment plans. In clinical settings, AI-powered tools are being used to analyze medical images, predict disease progression, and even identify early signs of conditions such as…
Title of the Paper : ENHANCING PRECISION IN LUNG TUMOR DETECTION USING TRANSFORMER-BASED MODELS ON MULTI – INSTITUTIONAL CHEST RADIOGRAPHS Journal Name : Journal of the Oriental Institute Volumn : Vol.74, Issue 2, 2025 ISSN Number : 0030-5324 The timely diagnosis is crucial in determining the fate of lung cancer, which remains a major cause…
Title of the Paper : GLOBAL CANCER BURDEN: A TWO-DECADE ANALYSIS OF INCIDENCE, GROWTH, AND MEDICAL ADVANCEMENTS Journal Name : Journal of the Maharaja Sayajirao University of Baroda Volume : Vol.59, No.4,2025 ISSN Number : 0025-0422 With a sharp increase in incidence and mortality over the last 20 years, cancer has become a major global…
Title of the Paper : PSYCHOLOGICAL DIMENSIONS AND PATIENT CHALLENGES IN EARLY LUNG CANCER DETECTION USING AI-BASED SEGMENTATION ON CHEST RADIOGRAPHS Journal Name : International Journal of Cultural Studies and Social Sciences Volume : Vol.22, Issue 2, No.1, July 2025 ISSN Number : 2347-4777 Early detection of lung cancer significantly improves survival rates, yet the…
This study will helps to identify the entrepreneurial skills among entrepreneurs in Coimbatore District. India is one of the countries, which have accorded high priority to entrepreneurship development. The communities, which have mainly provided entrepreneurs to our country, are parsis, Gujaratis and Marwaris. The word entrepreneur is derived from the French word, Entrepreneur which means…