Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey
Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …
GoogLeNet-AL: A Fully Automated Adaptive Model for Lung Cancer Detection
L Ma, H Wu, P Samundeeswari - Pattern Recognition, 2024 - Elsevier
As lung cancer has emerged as the top contributor to cancer-related fatalities, efficient and
precise diagnostic methods are essential for efficient diagnosis. This research introduces a …
precise diagnostic methods are essential for efficient diagnosis. This research introduces a …
Development of 3DTDUnet++ with novel function and multi-scale dilated-based deep learning model for lung cancer diagnosis using CT images
S Sridevi, A RajivKannan - Biomedical Signal Processing and Control, 2024 - Elsevier
The early diagnosis of lung cancer performs a vital role in enabling doctors to provide timely
treatment, potentially saving patients' lives. However, the intricate nature of cancer in lung …
treatment, potentially saving patients' lives. However, the intricate nature of cancer in lung …
[PDF][PDF] Hybrid Gene Selection Methods for High-Dimensional Lung Cancer Data Using Improved Arithmetic Optimization Algorithm.
MK Alsmadi - Computers, Materials & Continua, 2024 - cdn.techscience.cn
Lung cancer is among the most frequent cancers in the world, with over one million deaths
per year. Classification is required for lung cancer diagnosis and therapy to be effective …
per year. Classification is required for lung cancer diagnosis and therapy to be effective …
深度学习在糖尿病视网膜病变分类领域的研究进展.
孙石磊， 李明， 刘静， 马金刚… - Journal of Computer …, 2024 - search.ebscohost.com
糖尿病视网膜病变是导致糖尿病患者视力受损的主要原因之一, 早期的分类诊断对于病情的治疗
与控制具有重要意义. 深度学习方法能够自动提取视网膜病变的特征并进行分类 …
与控制具有重要意义. 深度学习方法能够自动提取视网膜病变的特征并进行分类 …