Performance analysis of various deep learning models based on Max-Min CNN for lung nodule classification on CT images
R Mastouri, N Khlifa, H Neji… - Machine Vision and …, 2024 - Springer
Lung cancer remains one of the leading causes of cancer-related deaths worldwide,
underlining the urgent need for accurate and early detection and classification methods. In …
underlining the urgent need for accurate and early detection and classification methods. In …
Enhanced image segmentation for cancer images using sparse based classification framework
The correct identification and class of cancerous regions in scientific pictures is vital for
diagnosis and treatment planning. This examination recommends an enhanced image …
diagnosis and treatment planning. This examination recommends an enhanced image …
Improved SegNet with Hybrid Classifier for Lung Cancer Segmentation and Classification.
RD Ishwerlal, R Agarwal… - International Journal of …, 2024 - search.ebscohost.com
Prompt diagnosis is crucial globally to save lives, underscoring the urgent need in light of
lung cancer's status as a leading cause of death. While CT scans serve as a primary …
lung cancer's status as a leading cause of death. While CT scans serve as a primary …
[PDF][PDF] INTEGRATING SURF FEATURE REDUCTION WITH CCAPSNETS CLASSIFICATION FOR IMPROVING THE ACCURACY OF LUNG CANCER DETECTION
SA Lasrado, GNKS Babu - Journal of Data Acquisition and Processing, 2024 - sjcjycl.cn
Lung cancer continues one of the indicating causes of cancer-linked transience worldwide,
compelling the advancement of accurate and efficient investigative tools. In this research, we …
compelling the advancement of accurate and efficient investigative tools. In this research, we …